fixed energy out integrations

.github/workflows/build_systems.yml

@@ -23,6 +23,6 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - name: Build default package
-        run: "nixos-rebuild build --accept-flake-config --flake ./#${{ matrix.system }}"
+        run: "nixos-rebuild build --flake ./#${{ matrix.system }}"
       - name: copy to nix-cache
-        run: nix copy --accept-flake-config --to unix:///host-nix/var/nix/daemon-socket/socket .#nixosConfigurations.${{ matrix.system }}.config.system.build.toplevel
+        run: nix copy --to ssh://jeeves .#nixosConfigurations.${{ matrix.system }}.config.system.build.toplevel

.github/workflows/merge_flake_lock_update.yml

@@ -6,18 +6,24 @@ on:
 
 jobs:
   merge:
-    runs-on: self-hosted
+    runs-on: ubuntu-latest
 
     permissions:
       contents: write
       pull-requests: write
 
     steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
       - name: merge_flake_lock_update
-        run: >-
+        run: |
-          nix develop .#devShells.x86_64-linux.default -c
+          pr_number=$(gh pr list --state open --author RichieCahill --label flake_lock_update --json number --jq '.[0].number')
-          python -m python.gitea_flake_lock merge
+          echo "pr_number=$pr_number" >> $GITHUB_ENV
-          --repo "${{ github.repository }}"
+          if [ -n "$pr_number" ]; then
+            gh pr merge "$pr_number" --rebase
+          else
+            echo "No open PR found with label flake_lock_update"
+          fi
         env:
-          GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
+          GITHUB_TOKEN: ${{ secrets.GH_TOKEN_FOR_UPDATES }}
-          GITEA_URL: https://gitea.tmmworkshop.com

.github/workflows/pytest.yml

@@ -1,13 +1,13 @@
 name: pytest
 
 on:
-  workflow_dispatch:
   push:
     branches:
       - main
   pull_request:
     branches:
       - main
+  merge_group:
 
 jobs:
   pytest:

.github/workflows/update-flake-lock.yml

@@ -6,21 +6,18 @@ on:
 
 jobs:
   lockfile:
-    runs-on: self-hosted
+    runs-on: ubuntu-latest
-    permissions:
-      actions: write
-      contents: write
-      pull-requests: write
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
+      - name: Install Nix
+        uses: DeterminateSystems/nix-installer-action@main
       - name: Update flake.lock
-        run: nix flake update
+        uses: DeterminateSystems/update-flake-lock@main
-      - name: Create or update flake.lock PR
+        with:
-        env:
+          token: ${{ secrets.GH_TOKEN_FOR_UPDATES }}
-          GITEA_TOKEN: ${{ secrets.GITEA_TOKEN }}
+          pr-title: "Update flake.lock"
-          GITEA_URL: https://gitea.tmmworkshop.com
+          pr-labels: |
-        run: >-
+            dependencies
-          nix develop .#devShells.x86_64-linux.default -c
+            automated
-          python -m python.gitea_flake_lock update
+            flake_lock_update
-          --repo "${{ github.repository }}"

.gitignore

@@ -165,11 +165,3 @@ test.*
 
 # syncthing
 .stfolder
-
-# Frontend build output
-frontend/dist/
-frontend/node_modules/
-
-# data from testing llms
-data/*
-.ebook_search_bm25

.vscode/settings.json

@@ -40,6 +40,7 @@
     "cgroupdriver",
     "charliermarsh",
     "Checkpointing",
+    "cloudflared",
     "codellama",
     "codezombiech",
     "compactmode",
@@ -76,11 +77,11 @@
     "esphome",
     "extest",
     "fadvise",
-    "fastfetch",
     "fastforwardteam",
     "FASTFOX",
     "ffmpegthumbnailer",
     "filebot",
+    "filebrowser",
     "fileroller",
     "findbar",
     "Fira",
@@ -97,7 +98,6 @@
     "getch",
     "getmaxyx",
     "ghdeploy",
-    "gitea",
     "globalprivacycontrol",
     "gparted",
     "gtts",
@@ -116,9 +116,7 @@
     "httpchk",
     "hurlenko",
     "hwloc",
-    "ical",
     "ignorelist",
-    "improv",
     "INITDB",
     "iocharset",
     "ioit",
@@ -128,8 +126,6 @@
     "jnoortheen",
     "jsbc",
     "kagi",
-    "keyformat",
-    "keylocation",
     "kuma",
     "lazer",
     "levelname",
@@ -166,6 +162,7 @@
     "mypy",
     "ncdu",
     "nemo",
+    "neofetch",
     "nerdfonts",
     "netdev",
     "netdevs",
@@ -203,7 +200,6 @@
     "peerconnection",
     "PESKYFOX",
     "PGID",
-    "pgvector",
     "pipewire",
     "pkgs",
     "plugdev",
@@ -229,10 +225,12 @@
     "pylint",
     "pymetno",
     "pymodbus",
-    "pyopenweathermap",
     "pyownet",
     "pytest",
-    "qalculate",
+    "qbit",
+    "qbittorrent",
+    "qbittorrentvpn",
+    "qbitvpn",
     "quicksuggest",
     "radarr",
     "readahead",
@@ -257,7 +255,6 @@
     "sessionmaker",
     "sessionstore",
     "shellcheck",
-    "signalbot",
     "signon",
     "Signons",
     "skia",
@@ -289,14 +286,11 @@
     "topstories",
     "treefmt",
     "twimg",
-    "typedmonarchmoney",
     "typer",
     "uaccess",
-    "ubiquiti",
     "ublock",
     "uiprotect",
     "uitour",
-    "unifi",
     "unrar",
     "unsubmitted",
     "uptimekuma",
@@ -307,8 +301,6 @@
     "useragent",
     "usernamehw",
     "userprefs",
-    "vaninventory",
-    "vdev",
     "vfat",
     "victron",
     "virt",

AGENTS.md

@@ -0,0 +1,5 @@
+## Dev environment tips
+
+- use treefmt to format all files
+- make python code ruff compliant
+- use pytest to test python code

common/global/default.nix

@@ -23,10 +23,7 @@
   boot = {
     tmp.useTmpfs = true;
     kernelPackages = lib.mkDefault pkgs.linuxPackages_6_12;
-    zfs = {
+    zfs.package = lib.mkDefault pkgs.zfs_2_3;
-      package = lib.mkDefault pkgs.zfs_2_4;
-      forceImportRoot = lib.mkDefault false;
-    };
   };
 
   hardware.enableRedistributableFirmware = true;
@@ -40,17 +37,10 @@
 
   nixpkgs = {
     overlays = builtins.attrValues outputs.overlays;
-    config = {
+    config.allowUnfree = true;
-      allowUnfree = true;
-      permittedInsecurePackages = [
-        "openssl-1.1.1w" # This is for discord-canary
-      ];
-    };
   };
 
   services = {
-    dbus.implementation = "dbus";
-
     # firmware update
     fwupd.enable = true;
 

common/global/nix.nix

@@ -33,9 +33,6 @@ in
       ];
       warn-dirty = false;
       flake-registry = ""; # disable global flake registries
-      connect-timeout = 10;
-      download-buffer-size = 536870912;
-      fallback = true;
     };
 
     # Add each flake input as a registry and nix_path

common/optional/brain_substituter.nix

@@ -1,6 +0,0 @@
-{
-  nix.settings = {
-    trusted-substituters = [ "http://192.168.95.35:5000" ];
-    substituters = [ "http://192.168.95.35:5000/?priority=1&want-mass-query=true" ];
-  };
-}

common/optional/desktop.nix

@@ -1,8 +1,8 @@
 { pkgs, ... }:
 {
   boot = {
-    kernelPackages = pkgs.linuxPackages_6_18;
+    kernelPackages = pkgs.linuxPackages_6_17;
-    zfs.package = pkgs.zfs_2_4;
+    zfs.package = pkgs.zfs_unstable;
   };
 
   hardware.bluetooth = {

common/optional/monitoring-agent.nix

@@ -1,256 +0,0 @@
-{
-  config,
-  lib,
-  pkgs,
-  ...
-}:
-let
-  monitoringInterface = "ztwfunumly";
-  nodeTextfileDir = "/var/lib/prometheus-node-exporter-textfile";
-
-  mkProcessNameTemplate =
-    perPid: template: if perPid then "${template}:{{.PID}}:{{.StartTime}}" else template;
-
-  mkProcessMatchers = perPid: [
-    {
-      name = mkProcessNameTemplate perPid "{{.Username}}:{{.Matches.Module}}";
-      cmdline = [ "^/nix/store[^ ]*/bin/python[^ ]* -m (?P<Module>[^ ]+)" ];
-    }
-    {
-      name = mkProcessNameTemplate perPid "{{.Username}}:{{.Matches.Wrapped}}";
-      cmdline = [
-        "^/nix/store[^ ]*/bin/python[^ ]* /nix/store[^ ]*/bin/\\.?(?P<Wrapped>[^ /]+?)(?:-wrapped)?(?:\\s|$)"
-      ];
-    }
-    {
-      name = mkProcessNameTemplate perPid "{{.Username}}:{{.Matches.Wrapped}}";
-      cmdline = [
-        "^/nix/store[^ ]*/bin/node /nix/store[^ ]*-(?P<Wrapped>[A-Za-z0-9._+-]+)-[0-9][^ /]*/"
-      ];
-    }
-    {
-      name = mkProcessNameTemplate perPid "{{.Username}}:{{.Matches.Wrapped}}";
-      cmdline = [ "^/nix/store[^ ]*/(?:bin/|lib/[^ ]*/)?\\.?(?P<Wrapped>[^ /]+?)(?:-wrapped)?(?:\\s|$)" ];
-    }
-    {
-      name = mkProcessNameTemplate perPid "{{.Username}}:{{.ExeBase}}";
-      cmdline = [ ".+" ];
-    }
-  ];
-
-  perPidConfig = pkgs.writeText "process-exporter-per-pid.yaml" (
-    builtins.toJSON {
-      process_names = mkProcessMatchers true;
-    }
-  );
-
-  zpoolLatencyScript = pkgs.writeShellScript "zpool-latency-exporter" ''
-        set -euo pipefail
-
-        out_dir=${lib.escapeShellArg nodeTextfileDir}
-        host=${lib.escapeShellArg config.networking.hostName}
-        tmp_file="$(mktemp "$out_dir/zpool.prom.XXXXXX")"
-        trap 'rm -f "$tmp_file"' EXIT
-
-        pools="$(zpool list -H -o name | paste -sd, -)"
-
-        cat >"$tmp_file" <<'EOF'
-    # HELP zpool_iostat_total_wait_read_ns Average total read wait time reported by zpool iostat.
-    # TYPE zpool_iostat_total_wait_read_ns gauge
-    # HELP zpool_iostat_total_wait_write_ns Average total write wait time reported by zpool iostat.
-    # TYPE zpool_iostat_total_wait_write_ns gauge
-    # HELP zpool_iostat_disk_wait_read_ns Average disk read wait time reported by zpool iostat.
-    # TYPE zpool_iostat_disk_wait_read_ns gauge
-    # HELP zpool_iostat_disk_wait_write_ns Average disk write wait time reported by zpool iostat.
-    # TYPE zpool_iostat_disk_wait_write_ns gauge
-    # HELP zpool_iostat_syncq_wait_read_ns Average synchronous queue read wait time reported by zpool iostat.
-    # TYPE zpool_iostat_syncq_wait_read_ns gauge
-    # HELP zpool_iostat_syncq_wait_write_ns Average synchronous queue write wait time reported by zpool iostat.
-    # TYPE zpool_iostat_syncq_wait_write_ns gauge
-    # HELP zpool_iostat_asyncq_wait_read_ns Average asynchronous queue read wait time reported by zpool iostat.
-    # TYPE zpool_iostat_asyncq_wait_read_ns gauge
-    # HELP zpool_iostat_asyncq_wait_write_ns Average asynchronous queue write wait time reported by zpool iostat.
-    # TYPE zpool_iostat_asyncq_wait_write_ns gauge
-    EOF
-
-        zpool iostat -Hplvy -y 1 1 | awk -F '\t' -v host="$host" -v pools="$pools" '
-          function esc(str, out) {
-            out = str
-            gsub(/\\/, "\\\\", out)
-            gsub(/"/, "\\\"", out)
-            return out
-          }
-
-          function emit(metric, pool, vdev, value) {
-            if (value == "" || value == "-") {
-              return
-            }
-
-            printf "%s{host=\"%s\",pool=\"%s\",vdev=\"%s\"} %s\n",
-              metric,
-              esc(host),
-              esc(pool),
-              esc(vdev),
-              value
-          }
-
-          BEGIN {
-            split(pools, pool_names, ",")
-            for (idx in pool_names) {
-              if (pool_names[idx] != "") {
-                known_pools[pool_names[idx]] = 1
-              }
-            }
-          }
-
-          NF == 0 {
-            next
-          }
-
-          {
-            row_name = $1
-
-            if (row_name in known_pools) {
-              current_pool = row_name
-              current_vdev = "_pool"
-            } else if (current_pool == "") {
-              next
-            } else {
-              current_vdev = row_name
-            }
-
-            emit("zpool_iostat_total_wait_read_ns", current_pool, current_vdev, $8)
-            emit("zpool_iostat_total_wait_write_ns", current_pool, current_vdev, $9)
-            emit("zpool_iostat_disk_wait_read_ns", current_pool, current_vdev, $10)
-            emit("zpool_iostat_disk_wait_write_ns", current_pool, current_vdev, $11)
-            emit("zpool_iostat_syncq_wait_read_ns", current_pool, current_vdev, $12)
-            emit("zpool_iostat_syncq_wait_write_ns", current_pool, current_vdev, $13)
-            emit("zpool_iostat_asyncq_wait_read_ns", current_pool, current_vdev, $14)
-            emit("zpool_iostat_asyncq_wait_write_ns", current_pool, current_vdev, $15)
-          }
-        ' >>"$tmp_file"
-
-        mv "$tmp_file" "$out_dir/zpool.prom"
-        trap - EXIT
-  '';
-in
-{
-  networking.firewall.interfaces.${monitoringInterface}.allowedTCPPorts = [
-    9100
-    9134
-    9256
-    9257
-    9633
-  ];
-
-  services.prometheus.exporters = {
-    node = {
-      enable = true;
-      enabledCollectors = [
-        "pressure"
-        "processes"
-        "systemd"
-      ];
-      extraFlags = [ "--collector.textfile.directory=${nodeTextfileDir}" ];
-    };
-
-    process = {
-      enable = true;
-      user = "root";
-      group = "root";
-      settings.process_names = mkProcessMatchers false;
-      extraFlags = [
-        "-gather-smaps=false"
-        "-remove-empty-groups=true"
-        "-threads=false"
-      ];
-    };
-
-    smartctl.enable = true;
-    zfs.enable = true;
-  };
-
-  programs.atop = {
-    enable = true;
-    atopService.enable = true;
-    atopRotateTimer.enable = true;
-    atopacctService.enable = true;
-    settings.interval = 30;
-  };
-
-  systemd = {
-    services = {
-      prometheus-process-pid-exporter = {
-        description = "Prometheus process exporter with per-PID naming";
-        wantedBy = [ "multi-user.target" ];
-        after = [ "network.target" ];
-        serviceConfig = {
-          ExecStart = ''
-            ${pkgs.prometheus-process-exporter}/bin/process-exporter \
-              --web.listen-address 0.0.0.0:9257 \
-              --config.path ${perPidConfig} \
-              -children=false \
-              -gather-smaps=false \
-              -remove-empty-groups=true \
-              -threads=false
-          '';
-          User = "root";
-          Group = "root";
-          Restart = "always";
-          WorkingDirectory = "/tmp";
-          CapabilityBoundingSet = [ "" ];
-          DeviceAllow = [ "" ];
-          LockPersonality = true;
-          MemoryDenyWriteExecute = true;
-          NoNewPrivileges = true;
-          PrivateDevices = true;
-          PrivateTmp = true;
-          ProtectClock = true;
-          ProtectControlGroups = true;
-          ProtectHome = true;
-          ProtectHostname = true;
-          ProtectKernelLogs = true;
-          ProtectKernelModules = true;
-          ProtectKernelTunables = true;
-          ProtectSystem = "strict";
-          RemoveIPC = true;
-          RestrictAddressFamilies = [
-            "AF_INET"
-            "AF_INET6"
-          ];
-          RestrictNamespaces = true;
-          RestrictRealtime = true;
-          RestrictSUIDSGID = true;
-          SystemCallArchitectures = "native";
-          UMask = "0077";
-        };
-      };
-
-      zpool-latency-exporter = {
-        description = "Exports ZFS latency metrics for node_exporter textfile collection";
-        after = [ "zfs-import.target" ];
-        requires = [ "zfs-import.target" ];
-        path = [
-          config.boot.zfs.package
-          pkgs.coreutils
-          pkgs.gawk
-        ];
-        serviceConfig = {
-          Type = "oneshot";
-          ExecStart = zpoolLatencyScript;
-        };
-      };
-    };
-
-    timers.zpool-latency-exporter = {
-      wantedBy = [ "timers.target" ];
-      timerConfig = {
-        OnBootSec = "2m";
-        OnUnitActiveSec = "60s";
-        Unit = "zpool-latency-exporter.service";
-      };
-    };
-
-    tmpfiles.rules = [ "d ${nodeTextfileDir} 0755 root root - -" ];
-  };
-}

common/optional/syncthing_base.nix

@@ -12,7 +12,7 @@
       brain.id = "SSCGIPI-IV3VYKB-TRNIJE3-COV4T2H-CDBER7F-I2CGHYA-NWOEUDU-3T5QAAN"; # cspell:disable-line
       ipad.id = "KI76T3X-SFUGV2L-VSNYTKR-TSIUV5L-SHWD3HE-GQRGRCN-GY4UFMD-CW6Z6AX"; # cspell:disable-line
       jeeves.id = "ICRHXZW-ECYJCUZ-I4CZ64R-3XRK7CG-LL2HAAK-FGOHD22-BQA4AI6-5OAL6AG"; # cspell:disable-line
-      phone.id = "JPVQKQW-CFXOJXT-Q5G5F3H-QIDHDRE-GKHPTQB-GXZUQSP-U7FR7F7-INP3AAH"; # cspell:disable-line
+      phone.id = "TBRULKD-7DZPGGZ-F6LLB7J-MSO54AY-7KLPBIN-QOFK6PX-W2HBEWI-PHM2CQI"; # cspell:disable-line
       rhapsody-in-green.id = "ASL3KC4-3XEN6PA-7BQBRKE-A7JXLI6-DJT43BY-Q4WPOER-7UALUAZ-VTPQ6Q4"; # cspell:disable-line
     };
   };

common/optional/update.nix

@@ -4,7 +4,7 @@
     flags = [ "--accept-flake-config" ];
     randomizedDelaySec = "1h";
     persistent = true;
-    flake = "git+https://gitea.tmmworkshop.com/richie/dotfiles?ref=main";
+    flake = "github:RichieCahill/dotfiles";
     allowReboot = true;
     dates = "Sat *-*-* 06:00:00";
   };

docs/zfs_failed_root_import_recovry.md

@@ -1,76 +0,0 @@
-# ZFS failed root import recovery
-
-## Fast path
-
-If the machine fails to boot because ZFS refuses to import `root_pool`:
-
-### GRUB
-
-1. At the bootloader menu, select the normal NixOS entry.
-2. Press `e`.
-3. Find the line that starts with `linux`.
-4. Append this to the end of that line:
-
-```text
-zfs_force=1
-```
-
-5. Boot once with `Ctrl+x` or `F10`.
-
-### systemd-boot
-
-1. At the bootloader menu, highlight the normal NixOS entry.
-2. Press `e`.
-3. Append this to the end of the options line:
-
-```text
-zfs_force=1
-```
-
-4. Press `Enter` to boot once.
-
-## After boot
-
-Run:
-
-```bash
-sudo zpool status
-sudo zpool import
-journalctl -b | rg "ZFS|zfs|import|root_pool"
-```
-
-## Expected result
-
-`sudo zpool status` should show `root_pool` as `ONLINE`.
-
-## Reboot test
-
-Run:
-
-```bash
-sudo reboot
-```
-
-Do not add `zfs_force=1` the second time.
-
-## If it still fails
-
-Boot once more with:
-
-```text
-zfs_force=1
-```
-
-Then run:
-
-```bash
-sudo zpool status -v
-sudo zpool history | tail -n 50
-journalctl -b | rg "ZFS|zfs|import|root_pool"
-```
-
-## Notes
-
-- Root pool name is `root_pool`.
-- This is a one-time recovery path after disk moves, controller changes, dirty exports, or interrupted imports.
-- Some hosts also need the LUKS unlock USB key inserted before boot.

flake.lock

@@ -8,11 +8,11 @@
       },
       "locked": {
         "dir": "pkgs/firefox-addons",
-        "lastModified": 1781150628,
+        "lastModified": 1763697825,
-        "narHash": "sha256-b4mp8l3qWuSCyYYo9HSngDtcB3PpecYiOXjULrjwwlw=",
+        "narHash": "sha256-AgCCcVPOi1tuzuW5/StlwqBjRWSX62oL97qWuxrq5UA=",
         "owner": "rycee",
         "repo": "nur-expressions",
-        "rev": "753319310f4673a2dabbfab87482187b40bf9bac",
+        "rev": "cefce78793603231be226fa77e7ad58e0e4899b8",
         "type": "gitlab"
       },
       "original": {
@@ -29,11 +29,11 @@
         ]
       },
       "locked": {
-        "lastModified": 1781189114,
+        "lastModified": 1763748372,
-        "narHash": "sha256-5inaamLgUMWy+MOBE9ChF9QAF1o/74LFuHkI0W/9rqc=",
+        "narHash": "sha256-AUc78Qv3sWir0hvbmfXoZ7Jzq9VVL97l+sP9Jgms+JU=",
         "owner": "nix-community",
         "repo": "home-manager",
-        "rev": "486595d2cf49cfcd649b58a284fa11ac0e34da22",
+        "rev": "d10a9b16b2a3ee28433f3d1c603f4e9f1fecb8e1",
         "type": "github"
       },
       "original": {
@@ -43,15 +43,12 @@
       }
     },
     "nixos-hardware": {
-      "inputs": {
-        "nixpkgs": "nixpkgs"
-      },
       "locked": {
-        "lastModified": 1781168557,
+        "lastModified": 1762847253,
-        "narHash": "sha256-LOnLQ2tpYF9gqIDDr3+j3DbpJJr/QCH6zPRT2GzEUOE=",
+        "narHash": "sha256-BWWnUUT01lPwCWUvS0p6Px5UOBFeXJ8jR+ZdLX8IbrU=",
         "owner": "nixos",
         "repo": "nixos-hardware",
-        "rev": "6358ff76821101c178e3ab4919a62799bfe3652e",
+        "rev": "899dc449bc6428b9ee6b3b8f771ca2b0ef945ab9",
         "type": "github"
       },
       "original": {
@@ -63,24 +60,27 @@
     },
     "nixpkgs": {
       "locked": {
-        "lastModified": 1767892417,
+        "lastModified": 1763421233,
-        "narHash": "sha256-8bW3q88CEg2u4hSP66Vf4lpbLonHz7hqDNBMcCY7E9U=",
+        "narHash": "sha256-Stk9ZYRkGrnnpyJ4eqt9eQtdFWRRIvMxpNRf4sIegnw=",
-        "rev": "3497aa5c9457a9d88d71fa93a4a8368816fbeeba",
+        "owner": "nixos",
-        "type": "tarball",
+        "repo": "nixpkgs",
-        "url": "https://releases.nixos.org/nixos/unstable/nixos-26.05pre924538.3497aa5c9457/nixexprs.tar.xz"
+        "rev": "89c2b2330e733d6cdb5eae7b899326930c2c0648",
+        "type": "github"
       },
       "original": {
-        "type": "tarball",
+        "owner": "nixos",
-        "url": "https://channels.nixos.org/nixos-unstable/nixexprs.tar.xz"
+        "ref": "nixos-unstable",
+        "repo": "nixpkgs",
+        "type": "github"
       }
     },
     "nixpkgs-master": {
       "locked": {
-        "lastModified": 1781229721,
+        "lastModified": 1763774007,
-        "narHash": "sha256-ORvqDbb/LYxiJljGIejapjkc/kJbVote2N1WSb9W45I=",
+        "narHash": "sha256-PPeHfKA11P09kBkBD5pS3tIAFjnG5muHQnODQGTY87g=",
         "owner": "nixos",
         "repo": "nixpkgs",
-        "rev": "173d0ad7a974f8543a9ab01d2271b2e290341b33",
+        "rev": "8a7cf7e9e18384533d9ecd0bfbcf475ac1dc497e",
         "type": "github"
       },
       "original": {
@@ -106,28 +106,12 @@
         "type": "github"
       }
     },
-    "nixpkgs_2": {
-      "locked": {
-        "lastModified": 1781074563,
-        "narHash": "sha256-md8WlXOlfnIeHeOScMTTHFyf2d6iaTwPl2apR5EQ3P4=",
-        "owner": "nixos",
-        "repo": "nixpkgs",
-        "rev": "9ae611a455b90cf061d8f332b977e387bda8e1ca",
-        "type": "github"
-      },
-      "original": {
-        "owner": "nixos",
-        "ref": "nixos-unstable",
-        "repo": "nixpkgs",
-        "type": "github"
-      }
-    },
     "root": {
       "inputs": {
         "firefox-addons": "firefox-addons",
         "home-manager": "home-manager",
         "nixos-hardware": "nixos-hardware",
-        "nixpkgs": "nixpkgs_2",
+        "nixpkgs": "nixpkgs",
         "nixpkgs-master": "nixpkgs-master",
         "nixpkgs-stable": "nixpkgs-stable",
         "sops-nix": "sops-nix",
@@ -141,11 +125,11 @@
         ]
       },
       "locked": {
-        "lastModified": 1780547341,
+        "lastModified": 1763607916,
-        "narHash": "sha256-Gq8KNx5A7hBB3uGJaj6eQfLDIz5YdLu92gqBcvHvoUo=",
+        "narHash": "sha256-VefBA1JWRXM929mBAFohFUtQJLUnEwZ2vmYUNkFnSjE=",
         "owner": "Mic92",
         "repo": "sops-nix",
-        "rev": "9ed65852b6257fbeae4355bc24ecfea307ca759a",
+        "rev": "877bb495a6f8faf0d89fc10bd142c4b7ed2bcc0b",
         "type": "github"
       },
       "original": {

overlays/default.nix

@@ -16,62 +16,23 @@
   };
 
   python-env = final: _prev: {
-    my_python = final.python314.withPackages (
+    my_python = final.python313.withPackages (
-      ps:
+      ps: with ps; [
-      let
-        bm25s = ps.buildPythonPackage rec {
-          pname = "bm25s";
-          version = "0.3.9";
-          pyproject = true;
-
-          src = final.fetchPypi {
-            inherit pname version;
-            hash = "sha256-iVxnnZUrfeg1XttfPhpiCh4vKU0dQrkZvwghzOLi9Zc=";
-          };
-
-          build-system = [ ps.setuptools ];
-          dependencies = with ps; [
-            numpy
-            scipy
-          ];
-
-          pythonImportsCheck = [ "bm25s" ];
-        };
-      in
-      with ps;
-      [
-        alembic
         apprise
         apscheduler
-        beautifulsoup4
-        ebooklib
-        fastapi
-        fastapi-cli
-        httpx
         mypy
-        numpy
-        orjson
-        pgvector
         polars
         psycopg
-        pydantic
         pyfakefs
         pytest
         pytest-cov
         pytest-mock
         pytest-xdist
-        python-multipart
+        requests
         ruff
-        scalene
         sqlalchemy
-        sqlalchemy
-        bm25s
-        tenacity
-        textual
-        tiktoken
-        tinytuya
         typer
-        websockets
+        types-requests
       ]
     );
   };

pyproject.toml

@@ -7,26 +7,7 @@ requires-python = "~=3.13.0"
 readme = "README.md"
 license = "MIT"
 # these dependencies are a best effort and aren't guaranteed to work
-# for up-to-date dependencies, see overlays/default.nix
+dependencies = ["apprise", "apscheduler", "polars", "requests", "typer"]
-dependencies = [
-    "alembic",
-    "apprise",
-    "apscheduler",
-    "httpx",
-    "python-multipart",
-    "polars",
-    "psycopg[binary]",
-    "pydantic",
-    "pyyaml",
-    "sqlalchemy",
-    "typer",
-    "websockets",
-]
-
-[project.scripts]
-database = "python.database_cli:app"
-van-inventory = "python.van_inventory.main:serve"
-whisper-transcribe = "python.tools.whisper.transcribe:main"
 
 [dependency-groups]
 dev = [
@@ -37,6 +18,7 @@ dev = [
     "pytest-xdist",
     "pytest",
     "ruff",
+    "types-requests",
 ]
 
 [tool.ruff]
@@ -51,39 +33,20 @@ lint.ignore = [
     "COM812", # (TEMP) conflicts when used with the formatter
     "ISC001", # (TEMP) conflicts when used with the formatter
     "S603",   # (PERM) This is known to cause a false positive
-    "S607",   # (PERM) This is becoming a consistent annoyance
 ]
 
 [tool.ruff.lint.per-file-ignores]
 
 "tests/**" = [
-    "ANN",     # (perm) type annotations not needed in tests
-    "D",       # (perm) docstrings not needed in tests
-    "PLR2004", # (perm) magic values are fine in test assertions
     "S101", # (perm) pytest needs asserts
 ]
-"python/stuff/**" = [
+"python/random/**" = [
     "T201", # (perm) I don't care about print statements dir
 ]
 "python/testing/**" = [
     "T201",   # (perm) I don't care about print statements dir
     "ERA001", # (perm) I don't care about print statements dir
 ]
-"python/splendor/**" = [
-    "S311",    # (perm) there is no security issue here
-    "T201",    # (perm) I don't care about print statements dir
-    "PLR2004", # (temps) need to think about this
-]
-"python/orm/**" = [
-    "TC003", # (perm) this creates issues because sqlalchemy uses these at runtime
-]
-"python/congress_tracker/**" = [
-    "TC003", # (perm) this creates issues because sqlalchemy uses these at runtime
-]
-
-"python/alembic/**" = [
-    "INP001", # (perm) this creates LSP issues for alembic
-]
 
 [tool.ruff.lint.pydocstyle]
 convention = "google"
@@ -107,5 +70,4 @@ exclude_lines = [
 
 [tool.pytest.ini_options]
 addopts = "-n auto -ra"
-testpaths = ["tests"]
 # --cov=system_tools --cov-report=term-missing --cov-report=xml --cov-report=html --cov-branch

python/alembic/env.py

@@ -1,122 +0,0 @@
-"""Alembic."""
-
-from __future__ import annotations
-
-import logging
-import sys
-from pathlib import Path
-from typing import TYPE_CHECKING, Any, Literal
-
-from alembic import context
-from alembic.script import write_hooks
-from sqlalchemy.schema import CreateSchema
-
-from python.common import bash_wrapper
-from python.orm.common import get_postgres_engine
-
-if TYPE_CHECKING:
-    from collections.abc import MutableMapping
-
-    from sqlalchemy.orm import DeclarativeBase
-
-config = context.config
-
-base_class: type[DeclarativeBase] = config.attributes.get("base")
-if base_class is None:
-    error = "No base class provided. Use the database CLI to run alembic commands."
-    raise RuntimeError(error)
-
-target_metadata = base_class.metadata
-logging.basicConfig(
-    level="DEBUG",
-    datefmt="%Y-%m-%dT%H:%M:%S%z",
-    format="%(asctime)s %(levelname)s %(filename)s:%(lineno)d - %(message)s",
-    handlers=[logging.StreamHandler(sys.stdout)],
-)
-
-
-@write_hooks.register("dynamic_schema")
-def dynamic_schema(filename: str, _options: dict[Any, Any]) -> None:
-    """Dynamic schema."""
-    original_file = Path(filename).read_text()
-    schema_name = base_class.schema_name
-    dynamic_schema_file_part1 = original_file.replace(f"schema='{schema_name}'", "schema=schema")
-    dynamic_schema_file = dynamic_schema_file_part1.replace(f"'{schema_name}.", "f'{schema}.")
-    Path(filename).write_text(dynamic_schema_file)
-
-
-@write_hooks.register("import_postgresql")
-def import_postgresql(filename: str, _options: dict[Any, Any]) -> None:
-    """Add postgresql dialect import when postgresql types are used."""
-    content = Path(filename).read_text()
-    if "postgresql." in content and "from sqlalchemy.dialects import postgresql" not in content:
-        content = content.replace(
-            "import sqlalchemy as sa\n",
-            "import sqlalchemy as sa\nfrom sqlalchemy.dialects import postgresql\n",
-        )
-        Path(filename).write_text(content)
-
-
-@write_hooks.register("ruff")
-def ruff_check_and_format(filename: str, _options: dict[Any, Any]) -> None:
-    """Docstring for ruff_check_and_format."""
-    bash_wrapper(f"ruff check --fix {filename}")
-    bash_wrapper(f"ruff format {filename}")
-
-
-def include_name(
-    name: str | None,
-    type_: Literal["schema", "table", "column", "index", "unique_constraint", "foreign_key_constraint"],
-    _parent_names: MutableMapping[Literal["schema_name", "table_name", "schema_qualified_table_name"], str | None],
-) -> bool:
-    """Filter tables to be included in the migration.
-
-    Args:
-        name (str): The name of the table.
-        type_ (str): The type of the table.
-        _parent_names (MutableMapping): The names of the parent tables.
-
-    Returns:
-        bool: True if the table should be included, False otherwise.
-
-    """
-    if type_ == "schema":
-        # allows a database with multiple schemas to have separate alembic revisions
-        return name == target_metadata.schema
-    return True
-
-
-def run_migrations_online() -> None:
-    """Run migrations in 'online' mode.
-
-    In this scenario we need to create an Engine
-    and associate a connection with the context.
-
-    """
-    env_prefix = config.attributes.get("env_prefix", "POSTGRES")
-    connectable = get_postgres_engine(name=env_prefix)
-
-    with connectable.connect() as connection:
-        schema = base_class.schema_name
-        if not connectable.dialect.has_schema(connection, schema):
-            answer = input(f"Schema {schema!r} does not exist. Create it? [y/N] ")
-            if answer.lower() != "y":
-                error = f"Schema {schema!r} does not exist. Exiting."
-                raise SystemExit(error)
-            connection.execute(CreateSchema(schema))
-            connection.commit()
-
-        context.configure(
-            connection=connection,
-            target_metadata=target_metadata,
-            include_schemas=True,
-            version_table_schema=schema,
-            include_name=include_name,
-        )
-
-        with context.begin_transaction():
-            context.run_migrations()
-        connection.commit()
-
-
-run_migrations_online()

python/alembic/richie/versions/2026_01_11-created_contact_api_edd7dd61a3d2.py

@@ -1,113 +0,0 @@
-"""created contact api.
-
-Revision ID: edd7dd61a3d2
-Revises:
-Create Date: 2026-01-11 15:45:59.909266
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "edd7dd61a3d2"
-down_revision: str | None = None
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "contact",
-        sa.Column("name", sa.String(), nullable=False),
-        sa.Column("age", sa.Integer(), nullable=True),
-        sa.Column("bio", sa.String(), nullable=True),
-        sa.Column("current_job", sa.String(), nullable=True),
-        sa.Column("gender", sa.String(), nullable=True),
-        sa.Column("goals", sa.String(), nullable=True),
-        sa.Column("legal_name", sa.String(), nullable=True),
-        sa.Column("profile_pic", sa.String(), nullable=True),
-        sa.Column("safe_conversation_starters", sa.String(), nullable=True),
-        sa.Column("self_sufficiency_score", sa.Integer(), nullable=True),
-        sa.Column("social_structure_style", sa.String(), nullable=True),
-        sa.Column("ssn", sa.String(), nullable=True),
-        sa.Column("suffix", sa.String(), nullable=True),
-        sa.Column("timezone", sa.String(), nullable=True),
-        sa.Column("topics_to_avoid", sa.String(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_contact")),
-        schema=schema,
-    )
-    op.create_table(
-        "need",
-        sa.Column("name", sa.String(), nullable=False),
-        sa.Column("description", sa.String(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_need")),
-        schema=schema,
-    )
-    op.create_table(
-        "contact_need",
-        sa.Column("contact_id", sa.Integer(), nullable=False),
-        sa.Column("need_id", sa.Integer(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["contact_id"],
-            [f"{schema}.contact.id"],
-            name=op.f("fk_contact_need_contact_id_contact"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["need_id"], [f"{schema}.need.id"], name=op.f("fk_contact_need_need_id_need"), ondelete="CASCADE"
-        ),
-        sa.PrimaryKeyConstraint("contact_id", "need_id", name=op.f("pk_contact_need")),
-        schema=schema,
-    )
-    op.create_table(
-        "contact_relationship",
-        sa.Column("contact_id", sa.Integer(), nullable=False),
-        sa.Column("related_contact_id", sa.Integer(), nullable=False),
-        sa.Column("relationship_type", sa.String(length=100), nullable=False),
-        sa.Column("closeness_weight", sa.Integer(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["contact_id"],
-            [f"{schema}.contact.id"],
-            name=op.f("fk_contact_relationship_contact_id_contact"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["related_contact_id"],
-            [f"{schema}.contact.id"],
-            name=op.f("fk_contact_relationship_related_contact_id_contact"),
-            ondelete="CASCADE",
-        ),
-        sa.PrimaryKeyConstraint("contact_id", "related_contact_id", name=op.f("pk_contact_relationship")),
-        schema=schema,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("contact_relationship", schema=schema)
-    op.drop_table("contact_need", schema=schema)
-    op.drop_table("need", schema=schema)
-    op.drop_table("contact", schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_02_12-add_congress_tracker_tables_3f71565e38de.py

@@ -1,135 +0,0 @@
-"""add congress tracker tables.
-
-Revision ID: 3f71565e38de
-Revises: edd7dd61a3d2
-Create Date: 2026-02-12 16:36:09.457303
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "3f71565e38de"
-down_revision: str | None = "edd7dd61a3d2"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "bill",
-        sa.Column("congress", sa.Integer(), nullable=False),
-        sa.Column("bill_type", sa.String(), nullable=False),
-        sa.Column("number", sa.Integer(), nullable=False),
-        sa.Column("title", sa.String(), nullable=True),
-        sa.Column("title_short", sa.String(), nullable=True),
-        sa.Column("official_title", sa.String(), nullable=True),
-        sa.Column("status", sa.String(), nullable=True),
-        sa.Column("status_at", sa.Date(), nullable=True),
-        sa.Column("sponsor_bioguide_id", sa.String(), nullable=True),
-        sa.Column("subjects_top_term", sa.String(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_bill")),
-        sa.UniqueConstraint("congress", "bill_type", "number", name="uq_bill_congress_type_number"),
-        schema=schema,
-    )
-    op.create_index("ix_bill_congress", "bill", ["congress"], unique=False, schema=schema)
-    op.create_table(
-        "legislator",
-        sa.Column("bioguide_id", sa.Text(), nullable=False),
-        sa.Column("thomas_id", sa.String(), nullable=True),
-        sa.Column("lis_id", sa.String(), nullable=True),
-        sa.Column("govtrack_id", sa.Integer(), nullable=True),
-        sa.Column("opensecrets_id", sa.String(), nullable=True),
-        sa.Column("fec_ids", sa.String(), nullable=True),
-        sa.Column("first_name", sa.String(), nullable=False),
-        sa.Column("last_name", sa.String(), nullable=False),
-        sa.Column("official_full_name", sa.String(), nullable=True),
-        sa.Column("nickname", sa.String(), nullable=True),
-        sa.Column("birthday", sa.Date(), nullable=True),
-        sa.Column("gender", sa.String(), nullable=True),
-        sa.Column("current_party", sa.String(), nullable=True),
-        sa.Column("current_state", sa.String(), nullable=True),
-        sa.Column("current_district", sa.Integer(), nullable=True),
-        sa.Column("current_chamber", sa.String(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_legislator")),
-        schema=schema,
-    )
-    op.create_index(op.f("ix_legislator_bioguide_id"), "legislator", ["bioguide_id"], unique=True, schema=schema)
-    op.create_table(
-        "vote",
-        sa.Column("congress", sa.Integer(), nullable=False),
-        sa.Column("chamber", sa.String(), nullable=False),
-        sa.Column("session", sa.Integer(), nullable=False),
-        sa.Column("number", sa.Integer(), nullable=False),
-        sa.Column("vote_type", sa.String(), nullable=True),
-        sa.Column("question", sa.String(), nullable=True),
-        sa.Column("result", sa.String(), nullable=True),
-        sa.Column("result_text", sa.String(), nullable=True),
-        sa.Column("vote_date", sa.Date(), nullable=False),
-        sa.Column("yea_count", sa.Integer(), nullable=True),
-        sa.Column("nay_count", sa.Integer(), nullable=True),
-        sa.Column("not_voting_count", sa.Integer(), nullable=True),
-        sa.Column("present_count", sa.Integer(), nullable=True),
-        sa.Column("bill_id", sa.Integer(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(["bill_id"], [f"{schema}.bill.id"], name=op.f("fk_vote_bill_id_bill")),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote")),
-        sa.UniqueConstraint("congress", "chamber", "session", "number", name="uq_vote_congress_chamber_session_number"),
-        schema=schema,
-    )
-    op.create_index("ix_vote_congress_chamber", "vote", ["congress", "chamber"], unique=False, schema=schema)
-    op.create_index("ix_vote_date", "vote", ["vote_date"], unique=False, schema=schema)
-    op.create_table(
-        "vote_record",
-        sa.Column("vote_id", sa.Integer(), nullable=False),
-        sa.Column("legislator_id", sa.Integer(), nullable=False),
-        sa.Column("position", sa.String(), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["legislator_id"],
-            [f"{schema}.legislator.id"],
-            name=op.f("fk_vote_record_legislator_id_legislator"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["vote_id"], [f"{schema}.vote.id"], name=op.f("fk_vote_record_vote_id_vote"), ondelete="CASCADE"
-        ),
-        sa.PrimaryKeyConstraint("vote_id", "legislator_id", name=op.f("pk_vote_record")),
-        schema=schema,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("vote_record", schema=schema)
-    op.drop_index("ix_vote_date", table_name="vote", schema=schema)
-    op.drop_index("ix_vote_congress_chamber", table_name="vote", schema=schema)
-    op.drop_table("vote", schema=schema)
-    op.drop_index(op.f("ix_legislator_bioguide_id"), table_name="legislator", schema=schema)
-    op.drop_table("legislator", schema=schema)
-    op.drop_index("ix_bill_congress", table_name="bill", schema=schema)
-    op.drop_table("bill", schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_03_09-adding_signaldevice_for_deviceregistry__4c410c16e39c.py

@@ -1,58 +0,0 @@
-"""adding SignalDevice for DeviceRegistry for signal bot.
-
-Revision ID: 4c410c16e39c
-Revises: 3f71565e38de
-Create Date: 2026-03-09 14:51:24.228976
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-from sqlalchemy.dialects import postgresql
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "4c410c16e39c"
-down_revision: str | None = "3f71565e38de"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "signal_device",
-        sa.Column("phone_number", sa.String(length=50), nullable=False),
-        sa.Column("safety_number", sa.String(), nullable=False),
-        sa.Column(
-            "trust_level",
-            postgresql.ENUM("VERIFIED", "UNVERIFIED", "BLOCKED", name="trust_level", schema=schema),
-            nullable=False,
-        ),
-        sa.Column("last_seen", sa.DateTime(timezone=True), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_signal_device")),
-        sa.UniqueConstraint("phone_number", name=op.f("uq_signal_device_phone_number")),
-        schema=schema,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("signal_device", schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_03_09-fixed_safety_number_logic_99fec682516c.py

@@ -1,41 +0,0 @@
-"""fixed safety number logic.
-
-Revision ID: 99fec682516c
-Revises: 4c410c16e39c
-Create Date: 2026-03-09 16:25:25.085806
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "99fec682516c"
-down_revision: str | None = "4c410c16e39c"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.alter_column("signal_device", "safety_number", existing_type=sa.VARCHAR(), nullable=True, schema=schema)
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.alter_column("signal_device", "safety_number", existing_type=sa.VARCHAR(), nullable=False, schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_03_10-add_dead_letter_message_table_a1b2c3d4e5f6.py

@@ -1,54 +0,0 @@
-"""add dead_letter_message table.
-
-Revision ID: a1b2c3d4e5f6
-Revises: 99fec682516c
-Create Date: 2026-03-10 12:00:00.000000
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-from sqlalchemy.dialects import postgresql
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "a1b2c3d4e5f6"
-down_revision: str | None = "99fec682516c"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    op.create_table(
-        "dead_letter_message",
-        sa.Column("source", sa.String(), nullable=False),
-        sa.Column("message", sa.Text(), nullable=False),
-        sa.Column("received_at", sa.DateTime(timezone=True), nullable=False),
-        sa.Column(
-            "status",
-            postgresql.ENUM("UNPROCESSED", "PROCESSED", name="message_status", schema=schema),
-            nullable=False,
-        ),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_dead_letter_message")),
-        schema=schema,
-    )
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    op.drop_table("dead_letter_message", schema=schema)
-    op.execute(sa.text(f"DROP TYPE IF EXISTS {schema}.message_status"))

python/alembic/richie/versions/2026_03_16-adding_roles_to_signal_devices_2ef7ba690159.py

@@ -1,66 +0,0 @@
-"""adding roles to signal devices.
-
-Revision ID: 2ef7ba690159
-Revises: a1b2c3d4e5f6
-Create Date: 2026-03-16 19:22:38.020350
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "2ef7ba690159"
-down_revision: str | None = "a1b2c3d4e5f6"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "role",
-        sa.Column("name", sa.String(length=50), nullable=False),
-        sa.Column("id", sa.SmallInteger(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_role")),
-        sa.UniqueConstraint("name", name=op.f("uq_role_name")),
-        schema=schema,
-    )
-    op.create_table(
-        "device_role",
-        sa.Column("device_id", sa.Integer(), nullable=False),
-        sa.Column("role_id", sa.SmallInteger(), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["device_id"], [f"{schema}.signal_device.id"], name=op.f("fk_device_role_device_id_signal_device")
-        ),
-        sa.ForeignKeyConstraint(["role_id"], [f"{schema}.role.id"], name=op.f("fk_device_role_role_id_role")),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_device_role")),
-        sa.UniqueConstraint("device_id", "role_id", name="uq_device_role_device_role"),
-        schema=schema,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("device_role", schema=schema)
-    op.drop_table("role", schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_03_18-seprating_signal_bot_database_6b275323f435.py

@@ -1,171 +0,0 @@
-"""seprating signal_bot database.
-
-Revision ID: 6b275323f435
-Revises: 2ef7ba690159
-Create Date: 2026-03-18 08:34:28.785885
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-from sqlalchemy.dialects import postgresql
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "6b275323f435"
-down_revision: str | None = "2ef7ba690159"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("device_role", schema=schema)
-    op.drop_table("signal_device", schema=schema)
-    op.drop_table("role", schema=schema)
-    op.drop_table("dead_letter_message", schema=schema)
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "dead_letter_message",
-        sa.Column("source", sa.VARCHAR(), autoincrement=False, nullable=False),
-        sa.Column("message", sa.TEXT(), autoincrement=False, nullable=False),
-        sa.Column("received_at", postgresql.TIMESTAMP(timezone=True), autoincrement=False, nullable=False),
-        sa.Column(
-            "status",
-            postgresql.ENUM("UNPROCESSED", "PROCESSED", name="message_status", schema=schema),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
-        sa.Column(
-            "created",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column(
-            "updated",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_dead_letter_message")),
-        schema=schema,
-    )
-    op.create_table(
-        "role",
-        sa.Column("name", sa.VARCHAR(length=50), autoincrement=False, nullable=False),
-        sa.Column(
-            "id",
-            sa.SMALLINT(),
-            server_default=sa.text(f"nextval('{schema}.role_id_seq'::regclass)"),
-            autoincrement=True,
-            nullable=False,
-        ),
-        sa.Column(
-            "created",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column(
-            "updated",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_role")),
-        sa.UniqueConstraint(
-            "name", name=op.f("uq_role_name"), postgresql_include=[], postgresql_nulls_not_distinct=False
-        ),
-        schema=schema,
-    )
-    op.create_table(
-        "signal_device",
-        sa.Column("phone_number", sa.VARCHAR(length=50), autoincrement=False, nullable=False),
-        sa.Column("safety_number", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column(
-            "trust_level",
-            postgresql.ENUM("VERIFIED", "UNVERIFIED", "BLOCKED", name="trust_level", schema=schema),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column("last_seen", postgresql.TIMESTAMP(timezone=True), autoincrement=False, nullable=False),
-        sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
-        sa.Column(
-            "created",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column(
-            "updated",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_signal_device")),
-        sa.UniqueConstraint(
-            "phone_number",
-            name=op.f("uq_signal_device_phone_number"),
-            postgresql_include=[],
-            postgresql_nulls_not_distinct=False,
-        ),
-        schema=schema,
-    )
-    op.create_table(
-        "device_role",
-        sa.Column("device_id", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("role_id", sa.SMALLINT(), autoincrement=False, nullable=False),
-        sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
-        sa.Column(
-            "created",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column(
-            "updated",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.ForeignKeyConstraint(
-            ["device_id"], [f"{schema}.signal_device.id"], name=op.f("fk_device_role_device_id_signal_device")
-        ),
-        sa.ForeignKeyConstraint(["role_id"], [f"{schema}.role.id"], name=op.f("fk_device_role_role_id_role")),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_device_role")),
-        sa.UniqueConstraint(
-            "device_id",
-            "role_id",
-            name=op.f("uq_device_role_device_role"),
-            postgresql_include=[],
-            postgresql_nulls_not_distinct=False,
-        ),
-        schema=schema,
-    )
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_03_29-removed_ds_table_from_richie_db_c8a794340928.py

@@ -1,187 +0,0 @@
-"""removed ds table from richie DB.
-
-Revision ID: c8a794340928
-Revises: 6b275323f435
-Create Date: 2026-03-29 15:29:23.643146
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-from sqlalchemy.dialects import postgresql
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "c8a794340928"
-down_revision: str | None = "6b275323f435"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("vote_record", schema=schema)
-    op.drop_index(op.f("ix_vote_congress_chamber"), table_name="vote", schema=schema)
-    op.drop_index(op.f("ix_vote_date"), table_name="vote", schema=schema)
-    op.drop_index(op.f("ix_legislator_bioguide_id"), table_name="legislator", schema=schema)
-    op.drop_table("legislator", schema=schema)
-    op.drop_table("vote", schema=schema)
-    op.drop_index(op.f("ix_bill_congress"), table_name="bill", schema=schema)
-    op.drop_table("bill", schema=schema)
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "vote",
-        sa.Column("congress", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("chamber", sa.VARCHAR(), autoincrement=False, nullable=False),
-        sa.Column("session", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("number", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("vote_type", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("question", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("result", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("result_text", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("vote_date", sa.DATE(), autoincrement=False, nullable=False),
-        sa.Column("yea_count", sa.INTEGER(), autoincrement=False, nullable=True),
-        sa.Column("nay_count", sa.INTEGER(), autoincrement=False, nullable=True),
-        sa.Column("not_voting_count", sa.INTEGER(), autoincrement=False, nullable=True),
-        sa.Column("present_count", sa.INTEGER(), autoincrement=False, nullable=True),
-        sa.Column("bill_id", sa.INTEGER(), autoincrement=False, nullable=True),
-        sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
-        sa.Column(
-            "created",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column(
-            "updated",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.ForeignKeyConstraint(["bill_id"], [f"{schema}.bill.id"], name=op.f("fk_vote_bill_id_bill")),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote")),
-        sa.UniqueConstraint(
-            "congress",
-            "chamber",
-            "session",
-            "number",
-            name=op.f("uq_vote_congress_chamber_session_number"),
-            postgresql_include=[],
-            postgresql_nulls_not_distinct=False,
-        ),
-        schema=schema,
-    )
-    op.create_index(op.f("ix_vote_date"), "vote", ["vote_date"], unique=False, schema=schema)
-    op.create_index(op.f("ix_vote_congress_chamber"), "vote", ["congress", "chamber"], unique=False, schema=schema)
-    op.create_table(
-        "vote_record",
-        sa.Column("vote_id", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("legislator_id", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("position", sa.VARCHAR(), autoincrement=False, nullable=False),
-        sa.ForeignKeyConstraint(
-            ["legislator_id"],
-            [f"{schema}.legislator.id"],
-            name=op.f("fk_vote_record_legislator_id_legislator"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["vote_id"], [f"{schema}.vote.id"], name=op.f("fk_vote_record_vote_id_vote"), ondelete="CASCADE"
-        ),
-        sa.PrimaryKeyConstraint("vote_id", "legislator_id", name=op.f("pk_vote_record")),
-        schema=schema,
-    )
-    op.create_table(
-        "legislator",
-        sa.Column("bioguide_id", sa.TEXT(), autoincrement=False, nullable=False),
-        sa.Column("thomas_id", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("lis_id", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("govtrack_id", sa.INTEGER(), autoincrement=False, nullable=True),
-        sa.Column("opensecrets_id", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("fec_ids", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("first_name", sa.VARCHAR(), autoincrement=False, nullable=False),
-        sa.Column("last_name", sa.VARCHAR(), autoincrement=False, nullable=False),
-        sa.Column("official_full_name", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("nickname", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("birthday", sa.DATE(), autoincrement=False, nullable=True),
-        sa.Column("gender", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("current_party", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("current_state", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("current_district", sa.INTEGER(), autoincrement=False, nullable=True),
-        sa.Column("current_chamber", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
-        sa.Column(
-            "created",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column(
-            "updated",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_legislator")),
-        schema=schema,
-    )
-    op.create_index(op.f("ix_legislator_bioguide_id"), "legislator", ["bioguide_id"], unique=True, schema=schema)
-    op.create_table(
-        "bill",
-        sa.Column("congress", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("bill_type", sa.VARCHAR(), autoincrement=False, nullable=False),
-        sa.Column("number", sa.INTEGER(), autoincrement=False, nullable=False),
-        sa.Column("title", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("title_short", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("official_title", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("status", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("status_at", sa.DATE(), autoincrement=False, nullable=True),
-        sa.Column("sponsor_bioguide_id", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("subjects_top_term", sa.VARCHAR(), autoincrement=False, nullable=True),
-        sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
-        sa.Column(
-            "created",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.Column(
-            "updated",
-            postgresql.TIMESTAMP(timezone=True),
-            server_default=sa.text("now()"),
-            autoincrement=False,
-            nullable=False,
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_bill")),
-        sa.UniqueConstraint(
-            "congress",
-            "bill_type",
-            "number",
-            name=op.f("uq_bill_congress_type_number"),
-            postgresql_include=[],
-            postgresql_nulls_not_distinct=False,
-        ),
-        schema=schema,
-    )
-    op.create_index(op.f("ix_bill_congress"), "bill", ["congress"], unique=False, schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_06_03-adding_audiobook_libreary_metadata_d7864d1ffc17.py

@@ -1,93 +0,0 @@
-"""adding audiobook libreary metadata.
-
-Revision ID: d7864d1ffc17
-Revises: c8a794340928
-Create Date: 2026-06-03 20:24:09.200837
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "d7864d1ffc17"
-down_revision: str | None = "c8a794340928"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "audiobook_author",
-        sa.Column("name", sa.String(), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_audiobook_author")),
-        sa.UniqueConstraint("name", name=op.f("uq_audiobook_author_name")),
-        schema=schema,
-    )
-    op.create_table(
-        "audiobook_series",
-        sa.Column("name", sa.String(), nullable=False),
-        sa.Column("author_id", sa.Integer(), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["author_id"],
-            [f"{schema}.audiobook_author.id"],
-            name=op.f("fk_audiobook_series_author_id_audiobook_author"),
-            ondelete="CASCADE",
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_audiobook_series")),
-        sa.UniqueConstraint("author_id", "name", name=op.f("uq_audiobook_series_author_id")),
-        schema=schema,
-    )
-    op.create_table(
-        "audiobook",
-        sa.Column("title", sa.String(), nullable=False),
-        sa.Column("author_id", sa.Integer(), nullable=False),
-        sa.Column("series_id", sa.Integer(), nullable=True),
-        sa.Column("series_index", sa.Integer(), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["author_id"],
-            [f"{schema}.audiobook_author.id"],
-            name=op.f("fk_audiobook_author_id_audiobook_author"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["series_id"],
-            [f"{schema}.audiobook_series.id"],
-            name=op.f("fk_audiobook_series_id_audiobook_series"),
-            ondelete="SET NULL",
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_audiobook")),
-        schema=schema,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("audiobook", schema=schema)
-    op.drop_table("audiobook_series", schema=schema)
-    op.drop_table("audiobook_author", schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_06_10-add_ebook_search_tables_2db132cace1a.py

@@ -1,200 +0,0 @@
-"""add ebook search tables.
-
-Revision ID: 2db132cace1a
-Revises: b3c60cc5beb5
-Create Date: 2026-06-10 22:10:54.379159
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import pgvector
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "2db132cace1a"
-down_revision: str | None = "b3c60cc5beb5"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "ebook_embedding_model",
-        sa.Column("name", sa.String(), nullable=False),
-        sa.Column("dimension", sa.Integer(), nullable=False),
-        sa.Column("is_default", sa.Boolean(), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_embedding_model")),
-        sa.UniqueConstraint("name", name=op.f("uq_ebook_embedding_model_name")),
-        schema=schema,
-    )
-    op.create_table(
-        "ebook_source",
-        sa.Column("title", sa.String(), nullable=False),
-        sa.Column("author", sa.String(), nullable=True),
-        sa.Column("language", sa.String(), nullable=True),
-        sa.Column("publisher", sa.String(), nullable=True),
-        sa.Column("identifier", sa.String(), nullable=True),
-        sa.Column("file_path", sa.String(), nullable=False),
-        sa.Column("file_sha256", sa.String(length=64), nullable=False),
-        sa.Column("file_mtime", sa.DateTime(timezone=True), nullable=False),
-        sa.Column("file_size", sa.BigInteger(), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_source")),
-        sa.UniqueConstraint("file_path", name=op.f("uq_ebook_source_file_path")),
-        sa.UniqueConstraint("file_sha256", name=op.f("uq_ebook_source_file_sha256")),
-        schema=schema,
-    )
-    op.create_table(
-        "ebook_chapter",
-        sa.Column("source_id", sa.Integer(), nullable=False),
-        sa.Column("spine_index", sa.Integer(), nullable=False),
-        sa.Column("title", sa.String(), nullable=True),
-        sa.Column("href", sa.String(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["source_id"],
-            [f"{schema}.ebook_source.id"],
-            name=op.f("fk_ebook_chapter_source_id_ebook_source"),
-            ondelete="CASCADE",
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chapter")),
-        sa.UniqueConstraint("source_id", "spine_index", name=op.f("uq_ebook_chapter_source_id")),
-        schema=schema,
-    )
-    op.create_table(
-        "ebook_chunk",
-        sa.Column("source_id", sa.Integer(), nullable=False),
-        sa.Column("chapter_id", sa.Integer(), nullable=True),
-        sa.Column("chunk_index", sa.Integer(), nullable=False),
-        sa.Column("text", sa.String(), nullable=False),
-        sa.Column("token_start", sa.Integer(), nullable=False),
-        sa.Column("token_count", sa.Integer(), nullable=False),
-        sa.Column("page_label", sa.String(), nullable=True),
-        sa.Column("content_sha256", sa.String(length=64), nullable=False),
-        sa.Column("search_text", sa.String(), nullable=False),
-        sa.Column("id", sa.BigInteger(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["chapter_id"],
-            [f"{schema}.ebook_chapter.id"],
-            name=op.f("fk_ebook_chunk_chapter_id_ebook_chapter"),
-            ondelete="SET NULL",
-        ),
-        sa.ForeignKeyConstraint(
-            ["source_id"],
-            [f"{schema}.ebook_source.id"],
-            name=op.f("fk_ebook_chunk_source_id_ebook_source"),
-            ondelete="CASCADE",
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk")),
-        sa.UniqueConstraint("source_id", "chunk_index", name="uq_ebook_chunk_source_id_chunk_index"),
-        sa.UniqueConstraint("source_id", "content_sha256", name="uq_ebook_chunk_source_id_content_sha256"),
-        schema=schema,
-    )
-    op.create_table(
-        "ebook_chunk_embedding_1024",
-        sa.Column("chunk_id", sa.BigInteger(), nullable=False),
-        sa.Column("model_id", sa.Integer(), nullable=False),
-        sa.Column("embedding", pgvector.sqlalchemy.vector.VECTOR(dim=1024), nullable=False),
-        sa.Column("id", sa.BigInteger(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["chunk_id"],
-            [f"{schema}.ebook_chunk.id"],
-            name=op.f("fk_ebook_chunk_embedding_1024_chunk_id_ebook_chunk"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["model_id"],
-            [f"{schema}.ebook_embedding_model.id"],
-            name=op.f("fk_ebook_chunk_embedding_1024_model_id_ebook_embedding_model"),
-            ondelete="CASCADE",
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk_embedding_1024")),
-        sa.UniqueConstraint("chunk_id", "model_id", name=op.f("uq_ebook_chunk_embedding_1024_chunk_id")),
-        schema=schema,
-    )
-    op.create_table(
-        "ebook_chunk_embedding_2560",
-        sa.Column("chunk_id", sa.BigInteger(), nullable=False),
-        sa.Column("model_id", sa.Integer(), nullable=False),
-        sa.Column("embedding", pgvector.sqlalchemy.vector.VECTOR(dim=2560), nullable=False),
-        sa.Column("id", sa.BigInteger(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["chunk_id"],
-            [f"{schema}.ebook_chunk.id"],
-            name=op.f("fk_ebook_chunk_embedding_2560_chunk_id_ebook_chunk"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["model_id"],
-            [f"{schema}.ebook_embedding_model.id"],
-            name=op.f("fk_ebook_chunk_embedding_2560_model_id_ebook_embedding_model"),
-            ondelete="CASCADE",
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk_embedding_2560")),
-        sa.UniqueConstraint("chunk_id", "model_id", name=op.f("uq_ebook_chunk_embedding_2560_chunk_id")),
-        schema=schema,
-    )
-    op.create_table(
-        "ebook_chunk_embedding_4096",
-        sa.Column("chunk_id", sa.BigInteger(), nullable=False),
-        sa.Column("model_id", sa.Integer(), nullable=False),
-        sa.Column("embedding", pgvector.sqlalchemy.vector.VECTOR(dim=4096), nullable=False),
-        sa.Column("id", sa.BigInteger(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(
-            ["chunk_id"],
-            [f"{schema}.ebook_chunk.id"],
-            name=op.f("fk_ebook_chunk_embedding_4096_chunk_id_ebook_chunk"),
-            ondelete="CASCADE",
-        ),
-        sa.ForeignKeyConstraint(
-            ["model_id"],
-            [f"{schema}.ebook_embedding_model.id"],
-            name=op.f("fk_ebook_chunk_embedding_4096_model_id_ebook_embedding_model"),
-            ondelete="CASCADE",
-        ),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk_embedding_4096")),
-        sa.UniqueConstraint("chunk_id", "model_id", name=op.f("uq_ebook_chunk_embedding_4096_chunk_id")),
-        schema=schema,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("ebook_chunk_embedding_4096", schema=schema)
-    op.drop_table("ebook_chunk_embedding_2560", schema=schema)
-    op.drop_table("ebook_chunk_embedding_1024", schema=schema)
-    op.drop_table("ebook_chunk", schema=schema)
-    op.drop_table("ebook_chapter", schema=schema)
-    op.drop_table("ebook_source", schema=schema)
-    op.drop_table("ebook_embedding_model", schema=schema)
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_06_10-updated_series_index_to_float_and_added__b3c60cc5beb5.py

@@ -1,63 +0,0 @@
-"""updated series_index to float and added UniqueConstraint to audiobook and audiobook_author.
-
-Revision ID: b3c60cc5beb5
-Revises: d7864d1ffc17
-Create Date: 2026-06-10 20:02:43.073725
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "b3c60cc5beb5"
-down_revision: str | None = "d7864d1ffc17"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.alter_column(
-        "audiobook",
-        "series_index",
-        existing_type=sa.INTEGER(),
-        type_=sa.Float(),
-        existing_nullable=False,
-        schema=schema,
-    )
-    op.create_unique_constraint(
-        op.f("uq_audiobook_author_id"),
-        "audiobook",
-        ["author_id", "series_id", "title"],
-        schema=schema,
-        postgresql_nulls_not_distinct=True,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_constraint(op.f("uq_audiobook_author_id"), "audiobook", schema=schema, type_="unique")
-    op.alter_column(
-        "audiobook",
-        "series_index",
-        existing_type=sa.Float(),
-        type_=sa.INTEGER(),
-        existing_nullable=False,
-        schema=schema,
-    )
-    # ### end Alembic commands ###

python/alembic/richie/versions/2026_06_13-add_1024_ebook_embedding_cosine_index_c460105682d2.py

@@ -1,54 +0,0 @@
-"""add 1024 ebook embedding cosine index.
-
-Revision ID: c460105682d2
-Revises: 2db132cace1a
-Create Date: 2026-06-13 19:53:45.680289
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-from alembic import op
-
-from python.orm import RichieBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "c460105682d2"
-down_revision: str | None = "2db132cace1a"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = RichieBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_index(
-        "ix_ebook_chunk_embedding_1024_embedding_cosine",
-        "ebook_chunk_embedding_1024",
-        ["embedding"],
-        unique=False,
-        schema=schema,
-        postgresql_using="hnsw",
-        postgresql_ops={"embedding": "vector_cosine_ops"},
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_index(
-        "ix_ebook_chunk_embedding_1024_embedding_cosine",
-        table_name="ebook_chunk_embedding_1024",
-        schema=schema,
-        postgresql_using="hnsw",
-        postgresql_ops={"embedding": "vector_cosine_ops"},
-    )
-    # ### end Alembic commands ###

python/alembic/script.py.mako

@@ -1,36 +0,0 @@
-"""${message}.
-
-Revision ID: ${up_revision}
-Revises: ${down_revision | comma,n}
-Create Date: ${create_date}
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-
-from alembic import op
-from python.orm import ${config.attributes["base"].__name__}
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = ${repr(up_revision)}
-down_revision: str | None = ${repr(down_revision)}
-branch_labels: str | Sequence[str] | None = ${repr(branch_labels)}
-depends_on: str | Sequence[str] | None = ${repr(depends_on)}
-
-schema=${config.attributes["base"].__name__}.schema_name
-
-def upgrade() -> None:
-    """Upgrade."""
-    ${upgrades if upgrades else "pass"}
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    ${downgrades if downgrades else "pass"}

python/alembic/van_inventory/versions/2026_03_08-starting_van_invintory_15e733499804.py

@@ -1,80 +0,0 @@
-"""starting van invintory.
-
-Revision ID: 15e733499804
-Revises:
-Create Date: 2026-03-08 00:18:20.759720
-
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import sqlalchemy as sa
-from alembic import op
-
-from python.orm import VanInventoryBase
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-# revision identifiers, used by Alembic.
-revision: str = "15e733499804"
-down_revision: str | None = None
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-schema = VanInventoryBase.schema_name
-
-
-def upgrade() -> None:
-    """Upgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.create_table(
-        "items",
-        sa.Column("name", sa.String(), nullable=False),
-        sa.Column("quantity", sa.Float(), nullable=False),
-        sa.Column("unit", sa.String(), nullable=False),
-        sa.Column("category", sa.String(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_items")),
-        sa.UniqueConstraint("name", name=op.f("uq_items_name")),
-        schema=schema,
-    )
-    op.create_table(
-        "meals",
-        sa.Column("name", sa.String(), nullable=False),
-        sa.Column("instructions", sa.String(), nullable=True),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_meals")),
-        sa.UniqueConstraint("name", name=op.f("uq_meals_name")),
-        schema=schema,
-    )
-    op.create_table(
-        "meal_ingredients",
-        sa.Column("meal_id", sa.Integer(), nullable=False),
-        sa.Column("item_id", sa.Integer(), nullable=False),
-        sa.Column("quantity_needed", sa.Float(), nullable=False),
-        sa.Column("id", sa.Integer(), nullable=False),
-        sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
-        sa.ForeignKeyConstraint(["item_id"], [f"{schema}.items.id"], name=op.f("fk_meal_ingredients_item_id_items")),
-        sa.ForeignKeyConstraint(["meal_id"], [f"{schema}.meals.id"], name=op.f("fk_meal_ingredients_meal_id_meals")),
-        sa.PrimaryKeyConstraint("id", name=op.f("pk_meal_ingredients")),
-        sa.UniqueConstraint("meal_id", "item_id", name=op.f("uq_meal_ingredients_meal_id")),
-        schema=schema,
-    )
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    """Downgrade."""
-    # ### commands auto generated by Alembic - please adjust! ###
-    op.drop_table("meal_ingredients", schema=schema)
-    op.drop_table("meals", schema=schema)
-    op.drop_table("items", schema=schema)
-    # ### end Alembic commands ###

python/api/__init__.py

@@ -1 +0,0 @@
-"""FastAPI applications."""

python/api/main.py

@@ -1,52 +0,0 @@
-"""FastAPI interface for Contact database."""
-
-import logging
-from collections.abc import AsyncIterator
-from contextlib import asynccontextmanager
-from typing import Annotated
-
-import typer
-import uvicorn
-from fastapi import FastAPI
-
-from python.api.routers import contact_router, views_router
-from python.common import configure_logger
-from python.fastapi_tools import ZstdMiddleware
-from python.orm.common import get_postgres_engine
-
-logger = logging.getLogger(__name__)
-
-
-def create_app() -> FastAPI:
-    """Create and configure the FastAPI application."""
-
-    @asynccontextmanager
-    async def lifespan(app: FastAPI) -> AsyncIterator[None]:
-        """Manage application lifespan."""
-        app.state.engine = get_postgres_engine()
-        yield
-        app.state.engine.dispose()
-
-    app = FastAPI(title="Contact Database API", lifespan=lifespan)
-    app.add_middleware(ZstdMiddleware)
-
-    app.include_router(contact_router)
-    app.include_router(views_router)
-
-    return app
-
-
-def serve(
-    host: Annotated[str, typer.Option("--host", "-h", help="Host to bind to")],
-    port: Annotated[int, typer.Option("--port", "-p", help="Port to bind to")] = 8000,
-    log_level: Annotated[str, typer.Option("--log-level", "-l", help="Log level")] = "INFO",
-) -> None:
-    """Start the Contact API server."""
-    configure_logger(log_level)
-
-    app = create_app()
-    uvicorn.run(app, host=host, port=port)
-
-
-if __name__ == "__main__":
-    typer.run(serve)

python/api/routers/__init__.py

@@ -1,6 +0,0 @@
-"""API routers."""
-
-from python.api.routers.contact import router as contact_router
-from python.api.routers.views import router as views_router
-
-__all__ = ["contact_router", "views_router"]

python/api/routers/contact.py

@@ -1,481 +0,0 @@
-"""Contact API router."""
-
-from pathlib import Path
-
-from fastapi import APIRouter, HTTPException, Request
-from fastapi.responses import HTMLResponse
-from fastapi.templating import Jinja2Templates
-from pydantic import BaseModel
-from sqlalchemy import select
-from sqlalchemy.orm import selectinload
-
-from python.fastapi_tools.db import DbSession
-from python.orm.richie.contact import Contact, ContactRelationship, Need, RelationshipType
-
-TEMPLATES_DIR = Path(__file__).parent.parent / "templates"
-templates = Jinja2Templates(directory=TEMPLATES_DIR)
-
-
-def _is_htmx(request: Request) -> bool:
-    """Check if the request is from HTMX."""
-    return request.headers.get("HX-Request") == "true"
-
-
-class NeedBase(BaseModel):
-    """Base schema for Need."""
-
-    name: str
-    description: str | None = None
-
-
-class NeedCreate(NeedBase):
-    """Schema for creating a Need."""
-
-
-class NeedResponse(NeedBase):
-    """Schema for Need response."""
-
-    id: int
-
-    model_config = {"from_attributes": True}
-
-
-class ContactRelationshipCreate(BaseModel):
-    """Schema for creating a contact relationship."""
-
-    related_contact_id: int
-    relationship_type: RelationshipType
-    closeness_weight: int | None = None
-
-
-class ContactRelationshipUpdate(BaseModel):
-    """Schema for updating a contact relationship."""
-
-    relationship_type: RelationshipType | None = None
-    closeness_weight: int | None = None
-
-
-class ContactRelationshipResponse(BaseModel):
-    """Schema for contact relationship response."""
-
-    contact_id: int
-    related_contact_id: int
-    relationship_type: str
-    closeness_weight: int
-
-    model_config = {"from_attributes": True}
-
-
-class RelationshipTypeInfo(BaseModel):
-    """Information about a relationship type."""
-
-    value: str
-    display_name: str
-    default_weight: int
-
-
-class GraphNode(BaseModel):
-    """Node in the relationship graph."""
-
-    id: int
-    name: str
-    current_job: str | None = None
-
-
-class GraphEdge(BaseModel):
-    """Edge in the relationship graph."""
-
-    source: int
-    target: int
-    relationship_type: str
-    closeness_weight: int
-
-
-class GraphData(BaseModel):
-    """Complete graph data for visualization."""
-
-    nodes: list[GraphNode]
-    edges: list[GraphEdge]
-
-
-class ContactBase(BaseModel):
-    """Base schema for Contact."""
-
-    name: str
-    age: int | None = None
-    bio: str | None = None
-    current_job: str | None = None
-    gender: str | None = None
-    goals: str | None = None
-    legal_name: str | None = None
-    profile_pic: str | None = None
-    safe_conversation_starters: str | None = None
-    self_sufficiency_score: int | None = None
-    social_structure_style: str | None = None
-    ssn: str | None = None
-    suffix: str | None = None
-    timezone: str | None = None
-    topics_to_avoid: str | None = None
-
-
-class ContactCreate(ContactBase):
-    """Schema for creating a Contact."""
-
-    need_ids: list[int] = []
-
-
-class ContactUpdate(BaseModel):
-    """Schema for updating a Contact."""
-
-    name: str | None = None
-    age: int | None = None
-    bio: str | None = None
-    current_job: str | None = None
-    gender: str | None = None
-    goals: str | None = None
-    legal_name: str | None = None
-    profile_pic: str | None = None
-    safe_conversation_starters: str | None = None
-    self_sufficiency_score: int | None = None
-    social_structure_style: str | None = None
-    ssn: str | None = None
-    suffix: str | None = None
-    timezone: str | None = None
-    topics_to_avoid: str | None = None
-    need_ids: list[int] | None = None
-
-
-class ContactResponse(ContactBase):
-    """Schema for Contact response with relationships."""
-
-    id: int
-    needs: list[NeedResponse] = []
-    related_to: list[ContactRelationshipResponse] = []
-    related_from: list[ContactRelationshipResponse] = []
-
-    model_config = {"from_attributes": True}
-
-
-class ContactListResponse(ContactBase):
-    """Schema for Contact list response."""
-
-    id: int
-
-    model_config = {"from_attributes": True}
-
-
-router = APIRouter(prefix="/api", tags=["contacts"])
-
-
-@router.post("/needs", response_model=NeedResponse)
-def create_need(need: NeedCreate, db: DbSession) -> Need:
-    """Create a new need."""
-    db_need = Need(name=need.name, description=need.description)
-    db.add(db_need)
-    db.commit()
-    db.refresh(db_need)
-    return db_need
-
-
-@router.get("/needs", response_model=list[NeedResponse])
-def list_needs(db: DbSession) -> list[Need]:
-    """List all needs."""
-    return list(db.scalars(select(Need)).all())
-
-
-@router.get("/needs/{need_id}", response_model=NeedResponse)
-def get_need(need_id: int, db: DbSession) -> Need:
-    """Get a need by ID."""
-    need = db.get(Need, need_id)
-    if not need:
-        raise HTTPException(status_code=404, detail="Need not found")
-    return need
-
-
-@router.delete("/needs/{need_id}", response_model=None)
-def delete_need(need_id: int, request: Request, db: DbSession) -> dict[str, bool] | HTMLResponse:
-    """Delete a need by ID."""
-    need = db.get(Need, need_id)
-    if not need:
-        raise HTTPException(status_code=404, detail="Need not found")
-    db.delete(need)
-    db.commit()
-    if _is_htmx(request):
-        return HTMLResponse("")
-    return {"deleted": True}
-
-
-@router.post("/contacts", response_model=ContactResponse)
-def create_contact(contact: ContactCreate, db: DbSession) -> Contact:
-    """Create a new contact."""
-    need_ids = contact.need_ids
-    contact_data = contact.model_dump(exclude={"need_ids"})
-    db_contact = Contact(**contact_data)
-
-    if need_ids:
-        needs = list(db.scalars(select(Need).where(Need.id.in_(need_ids))).all())
-        db_contact.needs = needs
-
-    db.add(db_contact)
-    db.commit()
-    db.refresh(db_contact)
-    return db_contact
-
-
-@router.get("/contacts", response_model=list[ContactListResponse])
-def list_contacts(
-    db: DbSession,
-    skip: int = 0,
-    limit: int = 100,
-) -> list[Contact]:
-    """List all contacts with pagination."""
-    return list(db.scalars(select(Contact).offset(skip).limit(limit)).all())
-
-
-@router.get("/contacts/{contact_id}", response_model=ContactResponse)
-def get_contact(contact_id: int, db: DbSession) -> Contact:
-    """Get a contact by ID with all relationships."""
-    contact = db.scalar(
-        select(Contact)
-        .where(Contact.id == contact_id)
-        .options(
-            selectinload(Contact.needs),
-            selectinload(Contact.related_to),
-            selectinload(Contact.related_from),
-        )
-    )
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-    return contact
-
-
-@router.patch("/contacts/{contact_id}", response_model=ContactResponse)
-def update_contact(
-    contact_id: int,
-    contact: ContactUpdate,
-    db: DbSession,
-) -> Contact:
-    """Update a contact by ID."""
-    db_contact = db.get(Contact, contact_id)
-    if not db_contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    update_data = contact.model_dump(exclude_unset=True)
-    need_ids = update_data.pop("need_ids", None)
-
-    for key, value in update_data.items():
-        setattr(db_contact, key, value)
-
-    if need_ids is not None:
-        needs = list(db.scalars(select(Need).where(Need.id.in_(need_ids))).all())
-        db_contact.needs = needs
-
-    db.commit()
-    db.refresh(db_contact)
-    return db_contact
-
-
-@router.delete("/contacts/{contact_id}", response_model=None)
-def delete_contact(contact_id: int, request: Request, db: DbSession) -> dict[str, bool] | HTMLResponse:
-    """Delete a contact by ID."""
-    contact = db.get(Contact, contact_id)
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-    db.delete(contact)
-    db.commit()
-    if _is_htmx(request):
-        return HTMLResponse("")
-    return {"deleted": True}
-
-
-@router.post("/contacts/{contact_id}/needs/{need_id}")
-def add_need_to_contact(
-    contact_id: int,
-    need_id: int,
-    db: DbSession,
-) -> dict[str, bool]:
-    """Add a need to a contact."""
-    contact = db.get(Contact, contact_id)
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    need = db.get(Need, need_id)
-    if not need:
-        raise HTTPException(status_code=404, detail="Need not found")
-
-    if need not in contact.needs:
-        contact.needs.append(need)
-        db.commit()
-
-    return {"added": True}
-
-
-@router.delete("/contacts/{contact_id}/needs/{need_id}", response_model=None)
-def remove_need_from_contact(
-    contact_id: int,
-    need_id: int,
-    request: Request,
-    db: DbSession,
-) -> dict[str, bool] | HTMLResponse:
-    """Remove a need from a contact."""
-    contact = db.get(Contact, contact_id)
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    need = db.get(Need, need_id)
-    if not need:
-        raise HTTPException(status_code=404, detail="Need not found")
-
-    if need in contact.needs:
-        contact.needs.remove(need)
-        db.commit()
-
-    if _is_htmx(request):
-        return HTMLResponse("")
-    return {"removed": True}
-
-
-@router.post(
-    "/contacts/{contact_id}/relationships",
-    response_model=ContactRelationshipResponse,
-)
-def add_contact_relationship(
-    contact_id: int,
-    relationship: ContactRelationshipCreate,
-    db: DbSession,
-) -> ContactRelationship:
-    """Add a relationship between two contacts."""
-    contact = db.get(Contact, contact_id)
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    related_contact = db.get(Contact, relationship.related_contact_id)
-    if not related_contact:
-        raise HTTPException(status_code=404, detail="Related contact not found")
-
-    if contact_id == relationship.related_contact_id:
-        raise HTTPException(status_code=400, detail="Cannot relate contact to itself")
-
-    # Use provided weight or default from relationship type
-    weight = relationship.closeness_weight
-    if weight is None:
-        weight = relationship.relationship_type.default_weight
-
-    db_relationship = ContactRelationship(
-        contact_id=contact_id,
-        related_contact_id=relationship.related_contact_id,
-        relationship_type=relationship.relationship_type.value,
-        closeness_weight=weight,
-    )
-    db.add(db_relationship)
-    db.commit()
-    db.refresh(db_relationship)
-    return db_relationship
-
-
-@router.get(
-    "/contacts/{contact_id}/relationships",
-    response_model=list[ContactRelationshipResponse],
-)
-def get_contact_relationships(
-    contact_id: int,
-    db: DbSession,
-) -> list[ContactRelationship]:
-    """Get all relationships for a contact."""
-    contact = db.get(Contact, contact_id)
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    outgoing = list(db.scalars(select(ContactRelationship).where(ContactRelationship.contact_id == contact_id)).all())
-    incoming = list(
-        db.scalars(select(ContactRelationship).where(ContactRelationship.related_contact_id == contact_id)).all()
-    )
-    return outgoing + incoming
-
-
-@router.patch(
-    "/contacts/{contact_id}/relationships/{related_contact_id}",
-    response_model=ContactRelationshipResponse,
-)
-def update_contact_relationship(
-    contact_id: int,
-    related_contact_id: int,
-    update: ContactRelationshipUpdate,
-    db: DbSession,
-) -> ContactRelationship:
-    """Update a relationship between two contacts."""
-    relationship = db.scalar(
-        select(ContactRelationship).where(
-            ContactRelationship.contact_id == contact_id,
-            ContactRelationship.related_contact_id == related_contact_id,
-        )
-    )
-    if not relationship:
-        raise HTTPException(status_code=404, detail="Relationship not found")
-
-    if update.relationship_type is not None:
-        relationship.relationship_type = update.relationship_type.value
-    if update.closeness_weight is not None:
-        relationship.closeness_weight = update.closeness_weight
-
-    db.commit()
-    db.refresh(relationship)
-    return relationship
-
-
-@router.delete("/contacts/{contact_id}/relationships/{related_contact_id}", response_model=None)
-def remove_contact_relationship(
-    contact_id: int,
-    related_contact_id: int,
-    request: Request,
-    db: DbSession,
-) -> dict[str, bool] | HTMLResponse:
-    """Remove a relationship between two contacts."""
-    relationship = db.scalar(
-        select(ContactRelationship).where(
-            ContactRelationship.contact_id == contact_id,
-            ContactRelationship.related_contact_id == related_contact_id,
-        )
-    )
-    if not relationship:
-        raise HTTPException(status_code=404, detail="Relationship not found")
-
-    db.delete(relationship)
-    db.commit()
-    if _is_htmx(request):
-        return HTMLResponse("")
-    return {"deleted": True}
-
-
-@router.get("/relationship-types")
-def list_relationship_types() -> list[RelationshipTypeInfo]:
-    """List all available relationship types with their default weights."""
-    return [
-        RelationshipTypeInfo(
-            value=rt.value,
-            display_name=rt.display_name,
-            default_weight=rt.default_weight,
-        )
-        for rt in RelationshipType
-    ]
-
-
-@router.get("/graph")
-def get_relationship_graph(db: DbSession) -> GraphData:
-    """Get all contacts and relationships as graph data for visualization."""
-    contacts = list(db.scalars(select(Contact)).all())
-    relationships = list(db.scalars(select(ContactRelationship)).all())
-
-    nodes = [GraphNode(id=c.id, name=c.name, current_job=c.current_job) for c in contacts]
-
-    edges = [
-        GraphEdge(
-            source=rel.contact_id,
-            target=rel.related_contact_id,
-            relationship_type=rel.relationship_type,
-            closeness_weight=rel.closeness_weight,
-        )
-        for rel in relationships
-    ]
-
-    return GraphData(nodes=nodes, edges=edges)

python/api/routers/views.py

@@ -1,345 +0,0 @@
-"""HTMX server-rendered view router."""
-
-from pathlib import Path
-from typing import Annotated, Any
-
-from fastapi import APIRouter, Form, HTTPException, Request
-from fastapi.responses import HTMLResponse, RedirectResponse
-from fastapi.templating import Jinja2Templates
-from sqlalchemy import select
-from sqlalchemy.orm import Session, selectinload
-
-from python.fastapi_tools.db import DbSession
-from python.orm.richie.contact import Contact, ContactRelationship, Need, RelationshipType
-
-TEMPLATES_DIR = Path(__file__).parent.parent / "templates"
-templates = Jinja2Templates(directory=TEMPLATES_DIR)
-
-router = APIRouter(tags=["views"])
-
-FAMILIAL_TYPES = {
-    "parent",
-    "child",
-    "sibling",
-    "grandparent",
-    "grandchild",
-    "aunt_uncle",
-    "niece_nephew",
-    "cousin",
-    "in_law",
-}
-FRIEND_TYPES = {"best_friend", "close_friend", "friend", "acquaintance", "neighbor"}
-PARTNER_TYPES = {"spouse", "partner"}
-PROFESSIONAL_TYPES = {"mentor", "mentee", "business_partner", "colleague", "manager", "direct_report", "client"}
-
-CONTACT_STRING_FIELDS = (
-    "name",
-    "legal_name",
-    "suffix",
-    "gender",
-    "current_job",
-    "timezone",
-    "profile_pic",
-    "bio",
-    "goals",
-    "social_structure_style",
-    "safe_conversation_starters",
-    "topics_to_avoid",
-    "ssn",
-)
-
-CONTACT_INT_FIELDS = ("age", "self_sufficiency_score")
-
-
-def _group_relationships(relationships: list[ContactRelationship]) -> dict[str, list[ContactRelationship]]:
-    """Group relationships by category."""
-    groups: dict[str, list[ContactRelationship]] = {
-        "familial": [],
-        "partners": [],
-        "friends": [],
-        "professional": [],
-        "other": [],
-    }
-    for rel in relationships:
-        if rel.relationship_type in FAMILIAL_TYPES:
-            groups["familial"].append(rel)
-        elif rel.relationship_type in PARTNER_TYPES:
-            groups["partners"].append(rel)
-        elif rel.relationship_type in FRIEND_TYPES:
-            groups["friends"].append(rel)
-        elif rel.relationship_type in PROFESSIONAL_TYPES:
-            groups["professional"].append(rel)
-        else:
-            groups["other"].append(rel)
-    return groups
-
-
-def _build_contact_name_map(database: Session, contact: Contact) -> dict[int, str]:
-    """Build a mapping of contact IDs to names for relationship display."""
-    related_ids = {rel.related_contact_id for rel in contact.related_to}
-    related_ids |= {rel.contact_id for rel in contact.related_from}
-    related_ids.discard(contact.id)
-
-    if not related_ids:
-        return {}
-
-    related_contacts = list(database.scalars(select(Contact).where(Contact.id.in_(related_ids))).all())
-    return {related.id: related.name for related in related_contacts}
-
-
-def _get_relationship_type_display() -> dict[str, str]:
-    """Build a mapping of relationship type values to display names."""
-    return {rel_type.value: rel_type.display_name for rel_type in RelationshipType}
-
-
-async def _parse_contact_form(request: Request) -> dict[str, Any]:
-    """Parse contact form data from a multipart/form request."""
-    form_data = await request.form()
-    result: dict[str, Any] = {}
-
-    for field in CONTACT_STRING_FIELDS:
-        value = form_data.get(field, "")
-        result[field] = str(value) if value else None
-
-    for field in CONTACT_INT_FIELDS:
-        value = form_data.get(field, "")
-        result[field] = int(value) if value else None
-
-    result["need_ids"] = [int(value) for value in form_data.getlist("need_ids")]
-    return result
-
-
-def _save_contact_from_form(database: Session, contact: Contact, form_result: dict[str, Any]) -> None:
-    """Apply parsed form data to a Contact and save associated needs."""
-    need_ids = form_result.pop("need_ids")
-
-    for key, value in form_result.items():
-        setattr(contact, key, value)
-
-    if need_ids:
-        contact.needs = list(database.scalars(select(Need).where(Need.id.in_(need_ids))).all())
-    else:
-        contact.needs = []
-
-
-@router.get("/", response_class=HTMLResponse)
-@router.get("/contacts", response_class=HTMLResponse)
-def contact_list_page(request: Request, database: DbSession) -> HTMLResponse:
-    """Render the contacts list page."""
-    contacts = list(database.scalars(select(Contact)).all())
-    return templates.TemplateResponse(request, "contact_list.html", {"contacts": contacts})
-
-
-@router.get("/contacts/new", response_class=HTMLResponse)
-def new_contact_page(request: Request, database: DbSession) -> HTMLResponse:
-    """Render the new contact form page."""
-    all_needs = list(database.scalars(select(Need)).all())
-    return templates.TemplateResponse(request, "contact_form.html", {"contact": None, "all_needs": all_needs})
-
-
-@router.post("/htmx/contacts/new")
-async def create_contact_form(request: Request, database: DbSession) -> RedirectResponse:
-    """Handle the create contact form submission."""
-    form_result = await _parse_contact_form(request)
-    contact = Contact()
-    _save_contact_from_form(database, contact, form_result)
-
-    database.add(contact)
-    database.commit()
-    database.refresh(contact)
-    return RedirectResponse(url=f"/contacts/{contact.id}", status_code=303)
-
-
-@router.get("/contacts/{contact_id}", response_class=HTMLResponse)
-def contact_detail_page(contact_id: int, request: Request, database: DbSession) -> HTMLResponse:
-    """Render the contact detail page."""
-    contact = database.scalar(
-        select(Contact)
-        .where(Contact.id == contact_id)
-        .options(
-            selectinload(Contact.needs),
-            selectinload(Contact.related_to),
-            selectinload(Contact.related_from),
-        )
-    )
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    contact_names = _build_contact_name_map(database, contact)
-    grouped_relationships = _group_relationships(contact.related_to)
-    all_contacts = list(database.scalars(select(Contact)).all())
-    all_needs = list(database.scalars(select(Need)).all())
-    available_needs = [need for need in all_needs if need not in contact.needs]
-
-    return templates.TemplateResponse(
-        request,
-        "contact_detail.html",
-        {
-            "contact": contact,
-            "contact_names": contact_names,
-            "grouped_relationships": grouped_relationships,
-            "all_contacts": all_contacts,
-            "available_needs": available_needs,
-            "relationship_types": list(RelationshipType),
-        },
-    )
-
-
-@router.get("/contacts/{contact_id}/edit", response_class=HTMLResponse)
-def edit_contact_page(contact_id: int, request: Request, database: DbSession) -> HTMLResponse:
-    """Render the edit contact form page."""
-    contact = database.scalar(select(Contact).where(Contact.id == contact_id).options(selectinload(Contact.needs)))
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    all_needs = list(database.scalars(select(Need)).all())
-    return templates.TemplateResponse(request, "contact_form.html", {"contact": contact, "all_needs": all_needs})
-
-
-@router.post("/htmx/contacts/{contact_id}/edit")
-async def update_contact_form(contact_id: int, request: Request, database: DbSession) -> RedirectResponse:
-    """Handle the edit contact form submission."""
-    contact = database.get(Contact, contact_id)
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    form_result = await _parse_contact_form(request)
-    _save_contact_from_form(database, contact, form_result)
-
-    database.commit()
-    return RedirectResponse(url=f"/contacts/{contact_id}", status_code=303)
-
-
-@router.post("/htmx/contacts/{contact_id}/add-need", response_class=HTMLResponse)
-def add_need_to_contact_htmx(
-    contact_id: int,
-    request: Request,
-    database: DbSession,
-    need_id: Annotated[int, Form()],
-) -> HTMLResponse:
-    """Add a need to a contact and return updated manage-needs partial."""
-    contact = database.scalar(select(Contact).where(Contact.id == contact_id).options(selectinload(Contact.needs)))
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    need = database.get(Need, need_id)
-    if not need:
-        raise HTTPException(status_code=404, detail="Need not found")
-
-    if need not in contact.needs:
-        contact.needs.append(need)
-        database.commit()
-        database.refresh(contact)
-
-    return templates.TemplateResponse(request, "partials/manage_needs.html", {"contact": contact})
-
-
-@router.post("/htmx/contacts/{contact_id}/add-relationship", response_class=HTMLResponse)
-def add_relationship_htmx(
-    contact_id: int,
-    request: Request,
-    database: DbSession,
-    related_contact_id: Annotated[int, Form()],
-    relationship_type: Annotated[str, Form()],
-) -> HTMLResponse:
-    """Add a relationship and return updated manage-relationships partial."""
-    contact = database.scalar(select(Contact).where(Contact.id == contact_id).options(selectinload(Contact.related_to)))
-    if not contact:
-        raise HTTPException(status_code=404, detail="Contact not found")
-
-    related_contact = database.get(Contact, related_contact_id)
-    if not related_contact:
-        raise HTTPException(status_code=404, detail="Related contact not found")
-
-    rel_type = RelationshipType(relationship_type)
-    weight = rel_type.default_weight
-
-    relationship = ContactRelationship(
-        contact_id=contact_id,
-        related_contact_id=related_contact_id,
-        relationship_type=relationship_type,
-        closeness_weight=weight,
-    )
-    database.add(relationship)
-    database.commit()
-    database.refresh(contact)
-
-    contact_names = _build_contact_name_map(database, contact)
-    return templates.TemplateResponse(
-        request,
-        "partials/manage_relationships.html",
-        {"contact": contact, "contact_names": contact_names},
-    )
-
-
-@router.post("/htmx/contacts/{contact_id}/relationships/{related_contact_id}/weight")
-def update_relationship_weight_htmx(
-    contact_id: int,
-    related_contact_id: int,
-    database: DbSession,
-    closeness_weight: Annotated[int, Form()],
-) -> HTMLResponse:
-    """Update a relationship's closeness weight from HTMX range input."""
-    relationship = database.scalar(
-        select(ContactRelationship).where(
-            ContactRelationship.contact_id == contact_id,
-            ContactRelationship.related_contact_id == related_contact_id,
-        )
-    )
-    if not relationship:
-        raise HTTPException(status_code=404, detail="Relationship not found")
-
-    relationship.closeness_weight = closeness_weight
-    database.commit()
-    return HTMLResponse("")
-
-
-@router.post("/htmx/needs", response_class=HTMLResponse)
-def create_need_htmx(
-    request: Request,
-    database: DbSession,
-    name: Annotated[str, Form()],
-    description: Annotated[str, Form()] = "",
-) -> HTMLResponse:
-    """Create a need via form data and return updated needs list."""
-    need = Need(name=name, description=description or None)
-    database.add(need)
-    database.commit()
-    needs = list(database.scalars(select(Need)).all())
-    return templates.TemplateResponse(request, "partials/need_items.html", {"needs": needs})
-
-
-@router.get("/needs", response_class=HTMLResponse)
-def needs_page(request: Request, database: DbSession) -> HTMLResponse:
-    """Render the needs list page."""
-    needs = list(database.scalars(select(Need)).all())
-    return templates.TemplateResponse(request, "need_list.html", {"needs": needs})
-
-
-@router.get("/graph", response_class=HTMLResponse)
-def graph_page(request: Request, database: DbSession) -> HTMLResponse:
-    """Render the relationship graph page."""
-    contacts = list(database.scalars(select(Contact)).all())
-    relationships = list(database.scalars(select(ContactRelationship)).all())
-
-    graph_data = {
-        "nodes": [{"id": contact.id, "name": contact.name, "current_job": contact.current_job} for contact in contacts],
-        "edges": [
-            {
-                "source": rel.contact_id,
-                "target": rel.related_contact_id,
-                "relationship_type": rel.relationship_type,
-                "closeness_weight": rel.closeness_weight,
-            }
-            for rel in relationships
-        ],
-    }
-
-    return templates.TemplateResponse(
-        request,
-        "graph.html",
-        {
-            "graph_data": graph_data,
-            "relationship_type_display": _get_relationship_type_display(),
-        },
-    )

python/api/templates/base.html

@@ -1,198 +0,0 @@
-<!DOCTYPE html>
-<html lang="en" data-theme="light">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>{% block title %}Contact Database{% endblock %}</title>
-    <script src="https://unpkg.com/htmx.org@2.0.4"></script>
-    <style>
-        :root {
-            --color-bg: #f5f5f5;
-            --color-bg-card: #ffffff;
-            --color-bg-hover: #f0f0f0;
-            --color-bg-muted: #f9f9f9;
-            --color-bg-error: #ffe0e0;
-            --color-text: #333333;
-            --color-text-muted: #666666;
-            --color-text-error: #cc0000;
-            --color-border: #dddddd;
-            --color-border-light: #eeeeee;
-            --color-border-lighter: #f0f0f0;
-            --color-primary: #0066cc;
-            --color-primary-hover: #0055aa;
-            --color-danger: #cc3333;
-            --color-danger-hover: #aa2222;
-            --color-tag-bg: #e0e0e0;
-            --shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
-            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
-            line-height: 1.5;
-            color: var(--color-text);
-            background-color: var(--color-bg);
-        }
-        [data-theme="dark"] {
-            --color-bg: #1a1a1a;
-            --color-bg-card: #2d2d2d;
-            --color-bg-hover: #3d3d3d;
-            --color-bg-muted: #252525;
-            --color-bg-error: #4a2020;
-            --color-text: #e0e0e0;
-            --color-text-muted: #a0a0a0;
-            --color-text-error: #ff6b6b;
-            --color-border: #404040;
-            --color-border-light: #353535;
-            --color-border-lighter: #303030;
-            --color-primary: #4da6ff;
-            --color-primary-hover: #7dbfff;
-            --color-danger: #ff6b6b;
-            --color-danger-hover: #ff8a8a;
-            --color-tag-bg: #404040;
-            --shadow: 0 1px 3px rgba(0, 0, 0, 0.3);
-        }
-        * { box-sizing: border-box; }
-        body { margin: 0; background: var(--color-bg); color: var(--color-text); }
-        .app { max-width: 1000px; margin: 0 auto; padding: 20px; }
-        nav { display: flex; align-items: center; gap: 20px; padding: 15px 0; border-bottom: 1px solid var(--color-border); margin-bottom: 20px; }
-        nav a { color: var(--color-primary); text-decoration: none; font-weight: 500; }
-        nav a:hover { text-decoration: underline; }
-        .theme-toggle { margin-left: auto; }
-        main { background: var(--color-bg-card); padding: 20px; border-radius: 8px; box-shadow: var(--shadow); }
-        .header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 20px; }
-        .header h1 { margin: 0; }
-        a { color: var(--color-primary); }
-        a:hover { text-decoration: underline; }
-
-        .btn { display: inline-block; padding: 8px 16px; border: 1px solid var(--color-border); border-radius: 4px; background: var(--color-bg-card); color: var(--color-text); text-decoration: none; cursor: pointer; font-size: 14px; margin-left: 8px; }
-        .btn:hover { background: var(--color-bg-hover); }
-        .btn-primary { background: var(--color-primary); border-color: var(--color-primary); color: white; }
-        .btn-primary:hover { background: var(--color-primary-hover); }
-        .btn-danger { background: var(--color-danger); border-color: var(--color-danger); color: white; }
-        .btn-danger:hover { background: var(--color-danger-hover); }
-        .btn-small { padding: 4px 8px; font-size: 12px; }
-        .btn:disabled { opacity: 0.6; cursor: not-allowed; }
-
-        table { width: 100%; border-collapse: collapse; }
-        th, td { padding: 12px; text-align: left; border-bottom: 1px solid var(--color-border-light); }
-        th { font-weight: 600; background: var(--color-bg-muted); }
-        tr:hover { background: var(--color-bg-muted); }
-
-        .error { background: var(--color-bg-error); color: var(--color-text-error); padding: 10px; border-radius: 4px; margin-bottom: 20px; }
-        .tag { display: inline-block; background: var(--color-tag-bg); padding: 2px 8px; border-radius: 12px; font-size: 12px; color: var(--color-text-muted); }
-
-        .add-form { display: flex; gap: 10px; margin-top: 15px; flex-wrap: wrap; }
-        .add-form select, .add-form input { padding: 8px; border: 1px solid var(--color-border); border-radius: 4px; min-width: 200px; background: var(--color-bg-card); color: var(--color-text); }
-
-        .form-group { margin-bottom: 20px; }
-        .form-group label { display: block; font-weight: 500; margin-bottom: 5px; }
-        .form-group input, .form-group textarea, .form-group select { width: 100%; padding: 10px; border: 1px solid var(--color-border); border-radius: 4px; font-size: 14px; background: var(--color-bg-card); color: var(--color-text); }
-        .form-group textarea { resize: vertical; }
-        .form-row { display: grid; grid-template-columns: 1fr 1fr; gap: 20px; }
-        .checkbox-group { display: flex; flex-wrap: wrap; gap: 15px; }
-        .checkbox-label { display: flex; align-items: center; gap: 5px; cursor: pointer; }
-        .form-actions { display: flex; gap: 10px; margin-top: 30px; padding-top: 20px; border-top: 1px solid var(--color-border-light); }
-
-        .need-form { background: var(--color-bg-muted); padding: 20px; border-radius: 4px; margin-bottom: 20px; }
-        .need-items { list-style: none; padding: 0; }
-        .need-items li { display: flex; justify-content: space-between; align-items: flex-start; padding: 15px; border: 1px solid var(--color-border-light); border-radius: 4px; margin-bottom: 10px; }
-        .need-info p { margin: 5px 0 0; color: var(--color-text-muted); font-size: 14px; }
-
-        .graph-container { width: 100%; }
-        .graph-hint { color: var(--color-text-muted); font-size: 14px; margin-bottom: 15px; }
-        .selected-info { margin-top: 15px; padding: 15px; background: var(--color-bg-muted); border-radius: 8px; }
-        .selected-info h3 { margin: 0 0 10px; }
-        .selected-info p { margin: 5px 0; color: var(--color-text-muted); }
-        .legend { margin-top: 20px; padding: 15px; background: var(--color-bg-muted); border-radius: 8px; }
-        .legend h4 { margin: 0 0 10px; font-size: 14px; }
-        .legend-items { display: flex; flex-wrap: wrap; gap: 15px; }
-        .legend-item { display: flex; align-items: center; gap: 8px; font-size: 12px; color: var(--color-text-muted); }
-        .legend-line { width: 30px; border-radius: 2px; }
-
-        .id-card { width: 100%; }
-        .id-card-inner { background: linear-gradient(135deg, #0a0a0f 0%, #1a1a2e 50%, #0a0a0f 100%); background-image: radial-gradient(white 1px, transparent 1px), linear-gradient(135deg, #0a0a0f 0%, #1a1a2e 50%, #0a0a0f 100%); background-size: 50px 50px, 100% 100%; color: #fff; border-radius: 12px; padding: 25px; min-height: 500px; position: relative; overflow: hidden; }
-        .id-card-header { display: flex; justify-content: space-between; align-items: flex-start; margin-bottom: 15px; }
-        .id-card-header-left { flex: 1; }
-        .id-card-header-right { display: flex; flex-direction: column; align-items: flex-end; gap: 10px; }
-        .id-card-title { font-size: 2.5rem; font-weight: 700; margin: 0; color: #fff; text-shadow: 2px 2px 4px rgba(0,0,0,0.5); }
-        .id-profile-pic { width: 80px; height: 80px; border-radius: 8px; object-fit: cover; border: 2px solid rgba(255,255,255,0.3); }
-        .id-profile-placeholder { width: 80px; height: 80px; border-radius: 8px; background: linear-gradient(135deg, #4ecdc4 0%, #44a8a0 100%); display: flex; align-items: center; justify-content: center; border: 2px solid rgba(255,255,255,0.3); }
-        .id-profile-placeholder span { font-size: 2rem; font-weight: 700; color: #fff; text-shadow: 1px 1px 2px rgba(0,0,0,0.3); }
-        .id-card-actions { display: flex; gap: 8px; }
-        .id-card-actions .btn { background: rgba(255,255,255,0.1); border-color: rgba(255,255,255,0.3); color: #fff; }
-        .id-card-actions .btn:hover { background: rgba(255,255,255,0.2); }
-        .id-card-body { display: grid; grid-template-columns: 1fr 1.5fr; gap: 30px; }
-        .id-card-left { display: flex; flex-direction: column; gap: 8px; }
-        .id-field { font-size: 1rem; line-height: 1.4; }
-        .id-field-block { margin-top: 15px; font-size: 0.95rem; line-height: 1.5; }
-        .id-label { color: #4ecdc4; font-weight: 500; }
-        .id-card-right { display: flex; flex-direction: column; gap: 20px; }
-        .id-bio { font-size: 0.9rem; line-height: 1.6; color: #e0e0e0; }
-        .id-relationships { margin-top: 10px; }
-        .id-section-title { font-size: 1.5rem; margin: 0 0 15px; color: #fff; border-bottom: 1px solid rgba(255,255,255,0.2); padding-bottom: 8px; }
-        .id-rel-group { margin-bottom: 12px; font-size: 0.9rem; line-height: 1.6; }
-        .id-rel-label { color: #a0a0a0; }
-        .id-rel-group a { color: #4ecdc4; text-decoration: none; }
-        .id-rel-group a:hover { text-decoration: underline; }
-        .id-rel-type { color: #888; font-size: 0.85em; }
-        .id-card-warnings { margin-top: 30px; padding-top: 20px; border-top: 1px solid rgba(255,255,255,0.2); display: flex; flex-wrap: wrap; gap: 20px; }
-        .id-warning { display: flex; align-items: center; gap: 8px; font-size: 0.9rem; color: #ff6b6b; }
-        .warning-dot { width: 8px; height: 8px; background: #ff6b6b; border-radius: 50%; flex-shrink: 0; }
-        .warning-desc { color: #ccc; }
-
-        .id-card-manage { margin-top: 20px; background: var(--color-bg-muted); border-radius: 8px; padding: 15px; }
-        .id-card-manage summary { cursor: pointer; font-weight: 600; font-size: 1.1rem; padding: 5px 0; }
-        .id-card-manage[open] summary { margin-bottom: 15px; border-bottom: 1px solid var(--color-border-light); padding-bottom: 10px; }
-        .manage-section { margin-bottom: 25px; }
-        .manage-section h3 { margin: 0 0 15px; font-size: 1rem; }
-        .manage-relationships { display: flex; flex-direction: column; gap: 10px; margin-bottom: 15px; }
-        .manage-rel-item { display: flex; align-items: center; gap: 12px; padding: 10px; background: var(--color-bg-card); border-radius: 6px; flex-wrap: wrap; }
-        .manage-rel-item a { font-weight: 500; min-width: 120px; }
-        .weight-control { display: flex; align-items: center; gap: 8px; font-size: 12px; color: var(--color-text-muted); }
-        .weight-control input[type="range"] { width: 80px; cursor: pointer; }
-        .weight-value { min-width: 20px; text-align: center; font-weight: 600; }
-        .manage-needs-list { list-style: none; padding: 0; margin: 0 0 15px; }
-        .manage-needs-list li { display: flex; align-items: center; gap: 12px; padding: 10px; background: var(--color-bg-card); border-radius: 6px; margin-bottom: 8px; }
-        .manage-needs-list li .btn { margin-left: auto; }
-
-        .htmx-indicator { display: none; }
-        .htmx-request .htmx-indicator { display: inline; }
-        .htmx-request.htmx-indicator { display: inline; }
-
-        @media (max-width: 768px) {
-            .id-card-body { grid-template-columns: 1fr; }
-            .id-card-title { font-size: 1.8rem; }
-            .id-card-header { flex-direction: column; gap: 15px; }
-        }
-    </style>
-</head>
-<body>
-    <div class="app">
-        <nav>
-            <a href="/contacts">Contacts</a>
-            <a href="/graph">Graph</a>
-            <a href="/needs">Needs</a>
-            <button class="btn btn-small theme-toggle" onclick="toggleTheme()">
-                <span id="theme-label">Dark</span>
-            </button>
-        </nav>
-
-        <main id="main-content">
-            {% block content %}{% endblock %}
-        </main>
-    </div>
-
-    <script>
-        function toggleTheme() {
-            const html = document.documentElement;
-            const current = html.getAttribute('data-theme');
-            const next = current === 'light' ? 'dark' : 'light';
-            html.setAttribute('data-theme', next);
-            localStorage.setItem('theme', next);
-            document.getElementById('theme-label').textContent = next === 'light' ? 'Dark' : 'Light';
-        }
-        (function() {
-            const saved = localStorage.getItem('theme') || 'light';
-            document.documentElement.setAttribute('data-theme', saved);
-            document.getElementById('theme-label').textContent = saved === 'light' ? 'Dark' : 'Light';
-        })();
-    </script>
-</body>
-</html>

python/api/templates/contact_detail.html

@@ -1,204 +0,0 @@
-{% extends "base.html" %}
-{% block title %}{{ contact.name }}{% endblock %}
-{% block content %}
-<div class="id-card">
-    <div class="id-card-inner">
-        <div class="id-card-header">
-            <div class="id-card-header-left">
-                <h1 class="id-card-title">I.D.: {{ contact.name }}</h1>
-            </div>
-            <div class="id-card-header-right">
-                {% if contact.profile_pic %}
-                <img src="{{ contact.profile_pic }}" alt="{{ contact.name }}'s profile" class="id-profile-pic">
-                {% else %}
-                <div class="id-profile-placeholder">
-                    <span>{{ contact.name[0]|upper }}</span>
-                </div>
-                {% endif %}
-                <div class="id-card-actions">
-                    <a href="/contacts/{{ contact.id }}/edit" class="btn btn-small">Edit</a>
-                    <a href="/contacts" class="btn btn-small">Back</a>
-                </div>
-            </div>
-        </div>
-
-        <div class="id-card-body">
-            <div class="id-card-left">
-                {% if contact.legal_name %}
-                <div class="id-field">Legal name: {{ contact.legal_name }}</div>
-                {% endif %}
-                {% if contact.suffix %}
-                <div class="id-field">Suffix: {{ contact.suffix }}</div>
-                {% endif %}
-                {% if contact.gender %}
-                <div class="id-field">Gender: {{ contact.gender }}</div>
-                {% endif %}
-                {% if contact.age %}
-                <div class="id-field">Age: {{ contact.age }}</div>
-                {% endif %}
-                {% if contact.current_job %}
-                <div class="id-field">Job: {{ contact.current_job }}</div>
-                {% endif %}
-                {% if contact.social_structure_style %}
-                <div class="id-field">Social style: {{ contact.social_structure_style }}</div>
-                {% endif %}
-                {% if contact.self_sufficiency_score is not none %}
-                <div class="id-field">Self-Sufficiency: {{ contact.self_sufficiency_score }}</div>
-                {% endif %}
-                {% if contact.timezone %}
-                <div class="id-field">Timezone: {{ contact.timezone }}</div>
-                {% endif %}
-                {% if contact.safe_conversation_starters %}
-                <div class="id-field-block">
-                    <span class="id-label">Safe con starters:</span> {{ contact.safe_conversation_starters }}
-                </div>
-                {% endif %}
-                {% if contact.topics_to_avoid %}
-                <div class="id-field-block">
-                    <span class="id-label">Topics to avoid:</span> {{ contact.topics_to_avoid }}
-                </div>
-                {% endif %}
-                {% if contact.goals %}
-                <div class="id-field-block">
-                    <span class="id-label">Goals:</span> {{ contact.goals }}
-                </div>
-                {% endif %}
-            </div>
-
-            <div class="id-card-right">
-                {% if contact.bio %}
-                <div class="id-bio">
-                    <span class="id-label">Bio:</span> {{ contact.bio }}
-                </div>
-                {% endif %}
-
-                <div class="id-relationships">
-                    <h2 class="id-section-title">Relationships</h2>
-
-                    {% if grouped_relationships.familial %}
-                    <div class="id-rel-group">
-                        <span class="id-rel-label">Familial:</span>
-                        {% for rel in grouped_relationships.familial %}
-                        <a href="/contacts/{{ rel.related_contact_id }}">{{ contact_names[rel.related_contact_id] }}</a><span class="id-rel-type">({{ rel.relationship_type|replace("_", " ")|title }})</span>{% if not loop.last %}, {% endif %}
-                        {% endfor %}
-                    </div>
-                    {% endif %}
-
-                    {% if grouped_relationships.partners %}
-                    <div class="id-rel-group">
-                        <span class="id-rel-label">Partners:</span>
-                        {% for rel in grouped_relationships.partners %}
-                        <a href="/contacts/{{ rel.related_contact_id }}">{{ contact_names[rel.related_contact_id] }}</a>{% if not loop.last %}, {% endif %}
-                        {% endfor %}
-                    </div>
-                    {% endif %}
-
-                    {% if grouped_relationships.friends %}
-                    <div class="id-rel-group">
-                        <span class="id-rel-label">Friends:</span>
-                        {% for rel in grouped_relationships.friends %}
-                        <a href="/contacts/{{ rel.related_contact_id }}">{{ contact_names[rel.related_contact_id] }}</a>{% if not loop.last %}, {% endif %}
-                        {% endfor %}
-                    </div>
-                    {% endif %}
-
-                    {% if grouped_relationships.professional %}
-                    <div class="id-rel-group">
-                        <span class="id-rel-label">Professional:</span>
-                        {% for rel in grouped_relationships.professional %}
-                        <a href="/contacts/{{ rel.related_contact_id }}">{{ contact_names[rel.related_contact_id] }}</a><span class="id-rel-type">({{ rel.relationship_type|replace("_", " ")|title }})</span>{% if not loop.last %}, {% endif %}
-                        {% endfor %}
-                    </div>
-                    {% endif %}
-
-                    {% if grouped_relationships.other %}
-                    <div class="id-rel-group">
-                        <span class="id-rel-label">Other:</span>
-                        {% for rel in grouped_relationships.other %}
-                        <a href="/contacts/{{ rel.related_contact_id }}">{{ contact_names[rel.related_contact_id] }}</a><span class="id-rel-type">({{ rel.relationship_type|replace("_", " ")|title }})</span>{% if not loop.last %}, {% endif %}
-                        {% endfor %}
-                    </div>
-                    {% endif %}
-
-                    {% if contact.related_from %}
-                    <div class="id-rel-group">
-                        <span class="id-rel-label">Known by:</span>
-                        {% for rel in contact.related_from %}
-                        <a href="/contacts/{{ rel.contact_id }}">{{ contact_names[rel.contact_id] }}</a>{% if not loop.last %}, {% endif %}
-                        {% endfor %}
-                    </div>
-                    {% endif %}
-                </div>
-            </div>
-        </div>
-
-        {% if contact.needs %}
-        <div class="id-card-warnings">
-            {% for need in contact.needs %}
-            <div class="id-warning">
-                <span class="warning-dot"></span>
-                Warning: {{ need.name }}
-                {% if need.description %}<span class="warning-desc"> - {{ need.description }}</span>{% endif %}
-            </div>
-            {% endfor %}
-        </div>
-        {% endif %}
-    </div>
-
-    <details class="id-card-manage">
-        <summary>Manage Contact</summary>
-
-        <div class="manage-section">
-            <h3>Manage Relationships</h3>
-            <div id="manage-relationships" class="manage-relationships">
-                {% include "partials/manage_relationships.html" %}
-            </div>
-
-            {% if all_contacts %}
-            <form hx-post="/htmx/contacts/{{ contact.id }}/add-relationship"
-                  hx-target="#manage-relationships"
-                  hx-swap="innerHTML"
-                  class="add-form">
-                <select name="related_contact_id" required>
-                    <option value="">Select contact...</option>
-                    {% for other in all_contacts %}
-                    {% if other.id != contact.id %}
-                    <option value="{{ other.id }}">{{ other.name }}</option>
-                    {% endif %}
-                    {% endfor %}
-                </select>
-                <select name="relationship_type" required>
-                    <option value="">Select relationship type...</option>
-                    {% for rel_type in relationship_types %}
-                    <option value="{{ rel_type.value }}">{{ rel_type.display_name }}</option>
-                    {% endfor %}
-                </select>
-                <button type="submit" class="btn btn-primary">Add Relationship</button>
-            </form>
-            {% endif %}
-        </div>
-
-        <div class="manage-section">
-            <h3>Manage Needs/Warnings</h3>
-            <div id="manage-needs">
-                {% include "partials/manage_needs.html" %}
-            </div>
-
-            {% if available_needs %}
-            <form hx-post="/htmx/contacts/{{ contact.id }}/add-need"
-                  hx-target="#manage-needs"
-                  hx-swap="innerHTML"
-                  class="add-form">
-                <select name="need_id" required>
-                    <option value="">Select a need...</option>
-                    {% for need in available_needs %}
-                    <option value="{{ need.id }}">{{ need.name }}</option>
-                    {% endfor %}
-                </select>
-                <button type="submit" class="btn btn-primary">Add Need</button>
-            </form>
-            {% endif %}
-        </div>
-    </details>
-</div>
-{% endblock %}

python/api/templates/contact_form.html

@@ -1,115 +0,0 @@
-{% extends "base.html" %}
-{% block title %}{{ "Edit " + contact.name if contact else "New Contact" }}{% endblock %}
-{% block content %}
-<div class="contact-form">
-    <h1>{{ "Edit Contact" if contact else "New Contact" }}</h1>
-
-    {% if contact %}
-    <form method="post" action="/htmx/contacts/{{ contact.id }}/edit">
-    {% else %}
-    <form method="post" action="/htmx/contacts/new">
-    {% endif %}
-
-        <div class="form-group">
-            <label for="name">Name *</label>
-            <input id="name" name="name" type="text" value="{{ contact.name if contact else '' }}" required>
-        </div>
-
-        <div class="form-row">
-            <div class="form-group">
-                <label for="legal_name">Legal Name</label>
-                <input id="legal_name" name="legal_name" type="text" value="{{ contact.legal_name or '' }}">
-            </div>
-            <div class="form-group">
-                <label for="suffix">Suffix</label>
-                <input id="suffix" name="suffix" type="text" value="{{ contact.suffix or '' }}">
-            </div>
-        </div>
-
-        <div class="form-row">
-            <div class="form-group">
-                <label for="age">Age</label>
-                <input id="age" name="age" type="number" value="{{ contact.age if contact and contact.age is not none else '' }}">
-            </div>
-            <div class="form-group">
-                <label for="gender">Gender</label>
-                <input id="gender" name="gender" type="text" value="{{ contact.gender or '' }}">
-            </div>
-        </div>
-
-        <div class="form-group">
-            <label for="current_job">Current Job</label>
-            <input id="current_job" name="current_job" type="text" value="{{ contact.current_job or '' }}">
-        </div>
-
-        <div class="form-group">
-            <label for="timezone">Timezone</label>
-            <input id="timezone" name="timezone" type="text" value="{{ contact.timezone or '' }}">
-        </div>
-
-        <div class="form-group">
-            <label for="profile_pic">Profile Picture URL</label>
-            <input id="profile_pic" name="profile_pic" type="url" placeholder="https://example.com/photo.jpg" value="{{ contact.profile_pic or '' }}">
-        </div>
-
-        <div class="form-group">
-            <label for="bio">Bio</label>
-            <textarea id="bio" name="bio" rows="3">{{ contact.bio or '' }}</textarea>
-        </div>
-
-        <div class="form-group">
-            <label for="goals">Goals</label>
-            <textarea id="goals" name="goals" rows="3">{{ contact.goals or '' }}</textarea>
-        </div>
-
-        <div class="form-group">
-            <label for="social_structure_style">Social Structure Style</label>
-            <input id="social_structure_style" name="social_structure_style" type="text" value="{{ contact.social_structure_style or '' }}">
-        </div>
-
-        <div class="form-group">
-            <label for="self_sufficiency_score">Self-Sufficiency Score (1-10)</label>
-            <input id="self_sufficiency_score" name="self_sufficiency_score" type="number" min="1" max="10" value="{{ contact.self_sufficiency_score if contact and contact.self_sufficiency_score is not none else '' }}">
-        </div>
-
-        <div class="form-group">
-            <label for="safe_conversation_starters">Safe Conversation Starters</label>
-            <textarea id="safe_conversation_starters" name="safe_conversation_starters" rows="2">{{ contact.safe_conversation_starters or '' }}</textarea>
-        </div>
-
-        <div class="form-group">
-            <label for="topics_to_avoid">Topics to Avoid</label>
-            <textarea id="topics_to_avoid" name="topics_to_avoid" rows="2">{{ contact.topics_to_avoid or '' }}</textarea>
-        </div>
-
-        <div class="form-group">
-            <label for="ssn">SSN</label>
-            <input id="ssn" name="ssn" type="text" value="{{ contact.ssn or '' }}">
-        </div>
-
-        {% if all_needs %}
-        <div class="form-group">
-            <label>Needs/Accommodations</label>
-            <div class="checkbox-group">
-                {% for need in all_needs %}
-                <label class="checkbox-label">
-                    <input type="checkbox" name="need_ids" value="{{ need.id }}"
-                           {% if contact and need in contact.needs %}checked{% endif %}>
-                    {{ need.name }}
-                </label>
-                {% endfor %}
-            </div>
-        </div>
-        {% endif %}
-
-        <div class="form-actions">
-            <button type="submit" class="btn btn-primary">Save</button>
-            {% if contact %}
-            <a href="/contacts/{{ contact.id }}" class="btn">Cancel</a>
-            {% else %}
-            <a href="/contacts" class="btn">Cancel</a>
-            {% endif %}
-        </div>
-    </form>
-</div>
-{% endblock %}

python/api/templates/contact_list.html

@@ -1,14 +0,0 @@
-{% extends "base.html" %}
-{% block title %}Contacts{% endblock %}
-{% block content %}
-<div class="contact-list">
-    <div class="header">
-        <h1>Contacts</h1>
-        <a href="/contacts/new" class="btn btn-primary">Add Contact</a>
-    </div>
-
-    <div id="contact-table">
-        {% include "partials/contact_table.html" %}
-    </div>
-</div>
-{% endblock %}

python/api/templates/graph.html

@@ -1,198 +0,0 @@
-{% extends "base.html" %}
-{% block title %}Relationship Graph{% endblock %}
-{% block content %}
-<div class="graph-container">
-    <div class="header">
-        <h1>Relationship Graph</h1>
-    </div>
-    <p class="graph-hint">Drag nodes to reposition. Closer relationships have shorter, darker edges.</p>
-    <canvas id="graph-canvas" width="900" height="600"
-            style="border: 1px solid var(--color-border); border-radius: 8px; background: var(--color-bg); cursor: grab;">
-    </canvas>
-    <div id="selected-info"></div>
-    <div class="legend">
-        <h4>Relationship Closeness (1-10)</h4>
-        <div class="legend-items">
-            <div class="legend-item">
-                <span class="legend-line" style="background: hsl(220, 70%, 40%); height: 4px; display: inline-block;"></span>
-                <span>10 - Very Close (Spouse, Partner)</span>
-            </div>
-            <div class="legend-item">
-                <span class="legend-line" style="background: hsl(220, 70%, 52%); height: 3px; display: inline-block;"></span>
-                <span>7 - Close (Family, Best Friend)</span>
-            </div>
-            <div class="legend-item">
-                <span class="legend-line" style="background: hsl(220, 70%, 64%); height: 2px; display: inline-block;"></span>
-                <span>4 - Moderate (Friend, Colleague)</span>
-            </div>
-            <div class="legend-item">
-                <span class="legend-line" style="background: hsl(220, 70%, 72%); height: 1px; display: inline-block;"></span>
-                <span>2 - Distant (Acquaintance)</span>
-            </div>
-        </div>
-    </div>
-</div>
-
-<script>
-(function() {
-    const RELATIONSHIP_DISPLAY = {{ relationship_type_display|tojson }};
-    const graphData = {{ graph_data|tojson }};
-
-    const canvas = document.getElementById('graph-canvas');
-    const ctx = canvas.getContext('2d');
-    const width = canvas.width;
-    const height = canvas.height;
-    const centerX = width / 2;
-    const centerY = height / 2;
-
-    const nodes = graphData.nodes.map(function(node) {
-        return Object.assign({}, node, {
-            x: centerX + (Math.random() - 0.5) * 300,
-            y: centerY + (Math.random() - 0.5) * 300,
-            vx: 0,
-            vy: 0
-        });
-    });
-
-    const nodeMap = new Map(nodes.map(function(node) { return [node.id, node]; }));
-
-    const edges = graphData.edges.map(function(edge) {
-        const sourceNode = nodeMap.get(edge.source);
-        const targetNode = nodeMap.get(edge.target);
-        if (!sourceNode || !targetNode) return null;
-        return Object.assign({}, edge, { sourceNode: sourceNode, targetNode: targetNode });
-    }).filter(function(edge) { return edge !== null; });
-
-    let dragNode = null;
-    let selectedNode = null;
-
-    const repulsion = 5000;
-    const springStrength = 0.05;
-    const baseSpringLength = 150;
-    const damping = 0.9;
-    const centerPull = 0.01;
-
-    function simulate() {
-        for (const node of nodes) { node.vx = 0; node.vy = 0; }
-        for (let i = 0; i < nodes.length; i++) {
-            for (let j = i + 1; j < nodes.length; j++) {
-                const dx = nodes[j].x - nodes[i].x;
-                const dy = nodes[j].y - nodes[i].y;
-                const dist = Math.sqrt(dx * dx + dy * dy) || 1;
-                const force = repulsion / (dist * dist);
-                const fx = (dx / dist) * force;
-                const fy = (dy / dist) * force;
-                nodes[i].vx -= fx; nodes[i].vy -= fy;
-                nodes[j].vx += fx; nodes[j].vy += fy;
-            }
-        }
-        for (const edge of edges) {
-            const dx = edge.targetNode.x - edge.sourceNode.x;
-            const dy = edge.targetNode.y - edge.sourceNode.y;
-            const dist = Math.sqrt(dx * dx + dy * dy) || 1;
-            const normalizedWeight = edge.closeness_weight / 10;
-            const idealLength = baseSpringLength * (1.5 - normalizedWeight);
-            const displacement = dist - idealLength;
-            const force = springStrength * displacement;
-            const fx = (dx / dist) * force;
-            const fy = (dy / dist) * force;
-            edge.sourceNode.vx += fx; edge.sourceNode.vy += fy;
-            edge.targetNode.vx -= fx; edge.targetNode.vy -= fy;
-        }
-        for (const node of nodes) {
-            node.vx += (centerX - node.x) * centerPull;
-            node.vy += (centerY - node.y) * centerPull;
-        }
-        for (const node of nodes) {
-            if (node === dragNode) continue;
-            node.x += node.vx * damping;
-            node.y += node.vy * damping;
-            node.x = Math.max(30, Math.min(width - 30, node.x));
-            node.y = Math.max(30, Math.min(height - 30, node.y));
-        }
-    }
-
-    function getEdgeColor(weight) {
-        const normalized = weight / 10;
-        return 'hsl(220, 70%, ' + (80 - normalized * 40) + '%)';
-    }
-
-    function draw() {
-        ctx.clearRect(0, 0, width, height);
-        for (const edge of edges) {
-            const lineWidth = 1 + (edge.closeness_weight / 10) * 3;
-            ctx.strokeStyle = getEdgeColor(edge.closeness_weight);
-            ctx.lineWidth = lineWidth;
-            ctx.beginPath();
-            ctx.moveTo(edge.sourceNode.x, edge.sourceNode.y);
-            ctx.lineTo(edge.targetNode.x, edge.targetNode.y);
-            ctx.stroke();
-            const midX = (edge.sourceNode.x + edge.targetNode.x) / 2;
-            const midY = (edge.sourceNode.y + edge.targetNode.y) / 2;
-            ctx.fillStyle = '#666';
-            ctx.font = '10px sans-serif';
-            ctx.textAlign = 'center';
-            const label = RELATIONSHIP_DISPLAY[edge.relationship_type] || edge.relationship_type;
-            ctx.fillText(label, midX, midY - 5);
-        }
-        for (const node of nodes) {
-            const isSelected = node === selectedNode;
-            const radius = isSelected ? 25 : 20;
-            ctx.beginPath();
-            ctx.arc(node.x, node.y, radius, 0, Math.PI * 2);
-            ctx.fillStyle = isSelected ? '#0066cc' : '#fff';
-            ctx.fill();
-            ctx.strokeStyle = '#0066cc';
-            ctx.lineWidth = 2;
-            ctx.stroke();
-            ctx.fillStyle = isSelected ? '#fff' : '#333';
-            ctx.font = '12px sans-serif';
-            ctx.textAlign = 'center';
-            ctx.textBaseline = 'middle';
-            const name = node.name.length > 10 ? node.name.slice(0, 9) + '\u2026' : node.name;
-            ctx.fillText(name, node.x, node.y);
-        }
-    }
-
-    function animate() {
-        simulate();
-        draw();
-        requestAnimationFrame(animate);
-    }
-    animate();
-
-    function getNodeAt(x, y) {
-        for (const node of nodes) {
-            const dx = x - node.x;
-            const dy = y - node.y;
-            if (dx * dx + dy * dy < 400) return node;
-        }
-        return null;
-    }
-
-    canvas.addEventListener('mousedown', function(event) {
-        const rect = canvas.getBoundingClientRect();
-        const node = getNodeAt(event.clientX - rect.left, event.clientY - rect.top);
-        if (node) {
-            dragNode = node;
-            selectedNode = node;
-            const infoDiv = document.getElementById('selected-info');
-            let html = '<div class="selected-info"><h3>' + node.name + '</h3>';
-            if (node.current_job) html += '<p>Job: ' + node.current_job + '</p>';
-            html += '<a href="/contacts/' + node.id + '">View details</a></div>';
-            infoDiv.innerHTML = html;
-        }
-    });
-
-    canvas.addEventListener('mousemove', function(event) {
-        if (!dragNode) return;
-        const rect = canvas.getBoundingClientRect();
-        dragNode.x = event.clientX - rect.left;
-        dragNode.y = event.clientY - rect.top;
-    });
-
-    canvas.addEventListener('mouseup', function() { dragNode = null; });
-    canvas.addEventListener('mouseleave', function() { dragNode = null; });
-})();
-</script>
-{% endblock %}

python/api/templates/need_list.html

@@ -1,31 +0,0 @@
-{% extends "base.html" %}
-{% block title %}Needs{% endblock %}
-{% block content %}
-<div class="need-list">
-    <div class="header">
-        <h1>Needs / Accommodations</h1>
-        <button class="btn btn-primary" onclick="document.getElementById('need-form').toggleAttribute('hidden')">Add Need</button>
-    </div>
-
-    <form id="need-form" hidden
-          hx-post="/htmx/needs"
-          hx-target="#need-items"
-          hx-swap="innerHTML"
-          hx-on::after-request="if(event.detail.successful) this.reset()"
-          class="need-form">
-        <div class="form-group">
-            <label for="name">Name *</label>
-            <input id="name" name="name" type="text" placeholder="e.g., Light Sensitive, ADHD" required>
-        </div>
-        <div class="form-group">
-            <label for="description">Description</label>
-            <textarea id="description" name="description" placeholder="Optional description..." rows="2"></textarea>
-        </div>
-        <button type="submit" class="btn btn-primary">Create</button>
-    </form>
-
-    <div id="need-items">
-        {% include "partials/need_items.html" %}
-    </div>
-</div>
-{% endblock %}

python/api/templates/partials/contact_table.html

@@ -1,33 +0,0 @@
-{% if contacts %}
-<table>
-    <thead>
-        <tr>
-            <th>Name</th>
-            <th>Job</th>
-            <th>Timezone</th>
-            <th>Actions</th>
-        </tr>
-    </thead>
-    <tbody>
-        {% for contact in contacts %}
-        <tr id="contact-row-{{ contact.id }}">
-            <td><a href="/contacts/{{ contact.id }}">{{ contact.name }}</a></td>
-            <td>{{ contact.current_job or "-" }}</td>
-            <td>{{ contact.timezone or "-" }}</td>
-            <td>
-                <a href="/contacts/{{ contact.id }}/edit" class="btn">Edit</a>
-                <button class="btn btn-danger"
-                        hx-delete="/api/contacts/{{ contact.id }}"
-                        hx-target="#contact-row-{{ contact.id }}"
-                        hx-swap="outerHTML"
-                        hx-confirm="Delete this contact?">
-                    Delete
-                </button>
-            </td>
-        </tr>
-        {% endfor %}
-    </tbody>
-</table>
-{% else %}
-<p>No contacts yet.</p>
-{% endif %}

python/api/templates/partials/manage_needs.html

@@ -1,14 +0,0 @@
-<ul class="manage-needs-list">
-    {% for need in contact.needs %}
-    <li id="contact-need-{{ need.id }}">
-        <strong>{{ need.name }}</strong>
-        {% if need.description %}<span> - {{ need.description }}</span>{% endif %}
-        <button class="btn btn-small btn-danger"
-                hx-delete="/api/contacts/{{ contact.id }}/needs/{{ need.id }}"
-                hx-target="#contact-need-{{ need.id }}"
-                hx-swap="outerHTML">
-            Remove
-        </button>
-    </li>
-    {% endfor %}
-</ul>

python/api/templates/partials/manage_relationships.html

@@ -1,23 +0,0 @@
-{% for rel in contact.related_to %}
-<div class="manage-rel-item" id="rel-{{ contact.id }}-{{ rel.related_contact_id }}">
-    <a href="/contacts/{{ rel.related_contact_id }}">{{ contact_names[rel.related_contact_id] }}</a>
-    <span class="tag">{{ rel.relationship_type|replace("_", " ")|title }}</span>
-    <label class="weight-control">
-        <span>Closeness:</span>
-        <input type="range" min="1" max="10" value="{{ rel.closeness_weight }}"
-               hx-post="/htmx/contacts/{{ contact.id }}/relationships/{{ rel.related_contact_id }}/weight"
-               hx-trigger="change"
-               hx-include="this"
-               name="closeness_weight"
-               hx-swap="none"
-               oninput="this.nextElementSibling.textContent = this.value">
-        <span class="weight-value">{{ rel.closeness_weight }}</span>
-    </label>
-    <button class="btn btn-small btn-danger"
-            hx-delete="/api/contacts/{{ contact.id }}/relationships/{{ rel.related_contact_id }}"
-            hx-target="#rel-{{ contact.id }}-{{ rel.related_contact_id }}"
-            hx-swap="outerHTML">
-        Remove
-    </button>
-</div>
-{% endfor %}

python/api/templates/partials/need_items.html

@@ -1,21 +0,0 @@
-{% if needs %}
-<ul class="need-items">
-    {% for need in needs %}
-    <li id="need-item-{{ need.id }}">
-        <div class="need-info">
-            <strong>{{ need.name }}</strong>
-            {% if need.description %}<p>{{ need.description }}</p>{% endif %}
-        </div>
-        <button class="btn btn-danger"
-                hx-delete="/api/needs/{{ need.id }}"
-                hx-target="#need-item-{{ need.id }}"
-                hx-swap="outerHTML"
-                hx-confirm="Delete this need?">
-            Delete
-        </button>
-    </li>
-    {% endfor %}
-</ul>
-{% else %}
-<p>No needs defined yet.</p>
-{% endif %}

python/database_cli.py

@@ -1,115 +0,0 @@
-"""CLI wrapper around alembic for multi-database support.
-
-Usage:
-    database <db_name> <command> [args...]
-
-Examples:
-    database van_inventory upgrade head
-    database van_inventory downgrade head-1
-    database van_inventory revision --autogenerate -m "add meals table"
-    database van_inventory check
-    database richie check
-    database richie upgrade head
-"""
-
-from __future__ import annotations
-
-from dataclasses import dataclass
-from importlib import import_module
-from typing import TYPE_CHECKING, Annotated
-
-import typer
-from alembic.config import CommandLine, Config
-
-if TYPE_CHECKING:
-    from sqlalchemy.orm import DeclarativeBase
-
-
-@dataclass(frozen=True)
-class DatabaseConfig:
-    """Configuration for a database."""
-
-    env_prefix: str
-    version_location: str
-    base_module: str
-    base_class_name: str
-    models_module: str
-    script_location: str = "python/alembic"
-    file_template: str = "%%(year)d_%%(month).2d_%%(day).2d-%%(slug)s_%%(rev)s"
-
-    def get_base(self) -> type[DeclarativeBase]:
-        """Import and return the Base class."""
-        module = import_module(self.base_module)
-        return getattr(module, self.base_class_name)
-
-    def import_models(self) -> None:
-        """Import ORM models so alembic autogenerate can detect them."""
-        import_module(self.models_module)
-
-    def alembic_config(self) -> Config:
-        """Build an alembic Config for this database."""
-        # Runtime import needed — Config is in TYPE_CHECKING for the return type annotation
-        from alembic.config import Config as AlembicConfig  # noqa: PLC0415
-
-        cfg = AlembicConfig()
-        cfg.set_main_option("script_location", self.script_location)
-        cfg.set_main_option("file_template", self.file_template)
-        cfg.set_main_option("prepend_sys_path", ".")
-        cfg.set_main_option("version_path_separator", "os")
-        cfg.set_main_option("version_locations", self.version_location)
-        cfg.set_main_option("revision_environment", "true")
-        cfg.set_section_option("post_write_hooks", "hooks", "dynamic_schema,import_postgresql,ruff")
-        cfg.set_section_option("post_write_hooks", "dynamic_schema.type", "dynamic_schema")
-        cfg.set_section_option("post_write_hooks", "import_postgresql.type", "import_postgresql")
-        cfg.set_section_option("post_write_hooks", "ruff.type", "ruff")
-        cfg.attributes["base"] = self.get_base()
-        cfg.attributes["env_prefix"] = self.env_prefix
-        self.import_models()
-        return cfg
-
-
-DATABASES: dict[str, DatabaseConfig] = {
-    "richie": DatabaseConfig(
-        env_prefix="RICHIE",
-        version_location="python/alembic/richie/versions",
-        base_module="python.orm.richie.base",
-        base_class_name="RichieBase",
-        models_module="python.orm.richie",
-    ),
-    "van_inventory": DatabaseConfig(
-        env_prefix="VAN_INVENTORY",
-        version_location="python/alembic/van_inventory/versions",
-        base_module="python.orm.van_inventory.base",
-        base_class_name="VanInventoryBase",
-        models_module="python.orm.van_inventory.models",
-    ),
-}
-
-
-app = typer.Typer(help="Multi-database alembic wrapper.")
-
-
-@app.command(
-    context_settings={"allow_extra_args": True, "ignore_unknown_options": True},
-)
-def main(
-    ctx: typer.Context,
-    db_name: Annotated[str, typer.Argument(help=f"Database name. Options: {', '.join(DATABASES)}")],
-    command: Annotated[str, typer.Argument(help="Alembic command (upgrade, downgrade, revision, check, etc.)")],
-) -> None:
-    """Run an alembic command against the specified database."""
-    db_config = DATABASES.get(db_name)
-    if not db_config:
-        typer.echo(f"Unknown database: {db_name!r}. Available: {', '.join(DATABASES)}", err=True)
-        raise typer.Exit(code=1)
-
-    alembic_cfg = db_config.alembic_config()
-
-    cmd_line = CommandLine()
-    options = cmd_line.parser.parse_args([command, *ctx.args])
-    cmd_line.run_cmd(alembic_cfg, options)
-
-
-if __name__ == "__main__":
-    app()
-

python/ebook_search/__init__.py

@@ -1 +0,0 @@
-"""EPUB search package."""

python/ebook_search/answer.py

@@ -1,57 +0,0 @@
-"""Grounded answer generation."""
-
-from __future__ import annotations
-
-import logging
-from typing import TYPE_CHECKING
-
-from python.ebook_search.llm_interface import request_chat_completion
-
-if TYPE_CHECKING:
-    from python.ebook_search.config import EbookSearchConfig
-    from python.ebook_search.search import SearchResult
-
-logger = logging.getLogger(__name__)
-
-
-def answer_query(query: str, results: list[SearchResult], config: EbookSearchConfig) -> str:
-    """Answer a question using only retrieved chunks."""
-    if not config.answer_enabled:
-        logger.info("ebook_answer_skipped_disabled")
-        return "Answer generation is disabled. Source chunks are shown below."
-
-    if not results:
-        logger.info("ebook_answer_skipped_no_results")
-        return "No relevant sources were found."
-
-    logger.info(
-        "ebook_answer_request_start base_url=%s model=%s sources=%s query_length=%s",
-        config.vllm_base_url,
-        config.chat_model,
-        len(results),
-        len(query),
-    )
-    context = "\n\n".join(
-        f"[{index}] {result.source_title}{' - ' + result.chapter_title if result.chapter_title else ''}\n{result.text}"
-        for index, result in enumerate(results, start=1)
-    )
-    content = request_chat_completion(
-        config,
-        [
-            {
-                "role": "system",
-                "content": (
-                    "Answer only from the provided context. Cite sources with bracketed numbers like [1]. "
-                    "If the context is insufficient, say so."
-                ),
-            },
-            {"role": "user", "content": f"Question:\n{query}\n\nContext:\n{context}"},
-        ],
-    )
-
-    logger.info(
-        "ebook_answer_request_complete model=%s answer_length=%s",
-        config.chat_model,
-        len(content),
-    )
-    return content or "The model returned an empty answer."

python/ebook_search/api/__init__.py

@@ -1 +0,0 @@
-"""Web and external API adapters for EPUB search."""

python/ebook_search/api/bm25_tasks.py

@@ -1,60 +0,0 @@
-"""Background BM25 refresh tasks for the web app."""
-
-from __future__ import annotations
-
-import logging
-from threading import Timer
-from typing import TYPE_CHECKING
-
-from sqlalchemy.orm import Session
-
-from python.ebook_search.bm25_corpus import load_bm25_corpus, refresh_bm25_corpus
-
-if TYPE_CHECKING:
-    from fastapi import FastAPI
-    from sqlalchemy.engine import Engine
-
-    from python.ebook_search.config import EbookSearchConfig
-
-logger = logging.getLogger(__name__)
-
-
-def schedule_bm25_refresh(app: FastAPI) -> None:
-    """Schedule a delayed BM25 corpus refresh, replacing any pending refresh."""
-    existing_timer = getattr(app.state, "bm25_refresh_timer", None)
-    if existing_timer is not None:
-        existing_timer.cancel()
-
-    timer = Timer(app.state.config.bm25_refresh_delay_seconds, refresh_bm25_for_app, args=(app,))
-    timer.daemon = True
-    timer.start()
-    app.state.bm25_refresh_timer = timer
-    logger.info(
-        "ebook_bm25_refresh_scheduled delay_seconds=%s",
-        app.state.config.bm25_refresh_delay_seconds,
-    )
-
-
-def cancel_bm25_refresh(app: FastAPI) -> None:
-    """Cancel any pending BM25 corpus refresh."""
-    existing_timer = getattr(app.state, "bm25_refresh_timer", None)
-    if existing_timer is not None:
-        existing_timer.cancel()
-        app.state.bm25_refresh_timer = None
-        logger.info("ebook_bm25_refresh_cancelled")
-
-
-def refresh_bm25_for_app(app: FastAPI) -> None:
-    """Refresh the BM25 corpus using the app engine and config."""
-    try:
-        refresh_bm25_for_engine(app.state.engine, app.state.config)
-    except Exception:
-        logger.exception("ebook_bm25_refresh_failed")
-
-
-def refresh_bm25_for_engine(engine: Engine, config: EbookSearchConfig) -> None:
-    """Refresh the BM25 corpus using a SQLAlchemy engine."""
-    with Session(engine) as session:
-        refresh_bm25_corpus(session, config)
-    load_bm25_corpus.cache_clear()
-    logger.info("ebook_bm25_corpus_cache_cleared_after_refresh")

python/ebook_search/api/main.py

@@ -1,79 +0,0 @@
-"""FastAPI HTMX app for EPUB search."""
-
-from __future__ import annotations
-
-import logging
-from contextlib import asynccontextmanager
-from typing import TYPE_CHECKING, Annotated
-
-import typer
-import uvicorn
-from fastapi import FastAPI
-from fastapi.staticfiles import StaticFiles
-from sqlalchemy.orm import Session
-
-from python.common import configure_logger
-from python.ebook_search.api.bm25_tasks import cancel_bm25_refresh
-from python.ebook_search.api.routes import admin_router, page_router, search_router
-from python.ebook_search.api.web import STATIC_DIR
-from python.ebook_search.bm25_corpus import ensure_bm25_corpus
-from python.ebook_search.config import load_config
-from python.fastapi_tools import ZstdMiddleware
-from python.orm.common import get_postgres_engine
-
-if TYPE_CHECKING:
-    from collections.abc import AsyncIterator
-
-
-logger = logging.getLogger(__name__)
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI) -> AsyncIterator[None]:
-    """Manage application startup and shutdown resources."""
-    logger.info("ebook_search_startup")
-    app.state.engine = get_postgres_engine(name="RICHIE", vector_engine=True)
-    with Session(app.state.engine) as session:
-        ensure_bm25_corpus(session, app.state.config)
-    try:
-        yield
-    finally:
-        logger.info("ebook_search_shutdown")
-        cancel_bm25_refresh(app)
-        app.state.engine.dispose()
-
-
-def create_app() -> FastAPI:
-    """Create the EPUB search web app."""
-    app = FastAPI(title="EPUB Search", lifespan=lifespan)
-    app.add_middleware(ZstdMiddleware)
-    app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
-    app.state.config = load_config()
-    logger.info(
-        "ebook_search_config_loaded top_k=%s embedding_model=%s rerank_enabled=%s answer_enabled=%s library_paths=%s",
-        app.state.config.top_k,
-        app.state.config.embedding_model,
-        app.state.config.rerank.enabled,
-        app.state.config.answer_enabled,
-        len(app.state.config.library_paths),
-    )
-
-    app.include_router(admin_router)
-    app.include_router(page_router)
-    app.include_router(search_router)
-
-    return app
-
-
-def serve(
-    host: Annotated[str, typer.Option("--host", "-h", help="Host to bind to")] = "127.0.0.1",
-    port: Annotated[int, typer.Option("--port", "-p", help="Port to bind to")] = 8070,
-    log_level: Annotated[str, typer.Option("--log-level", "-l", help="Log level")] = "INFO",
-) -> None:
-    """Start the EPUB search server."""
-    configure_logger(log_level)
-    uvicorn.run(create_app(), host=host, port=port)
-
-
-if __name__ == "__main__":
-    typer.run(serve)

python/ebook_search/api/routes/__init__.py

@@ -1,11 +0,0 @@
-"""EPUB search web route modules."""
-
-from python.ebook_search.api.routes.admin import router as admin_router
-from python.ebook_search.api.routes.page import router as page_router
-from python.ebook_search.api.routes.search import router as search_router
-
-__all__ = [
-    "admin_router",
-    "page_router",
-    "search_router",
-]

python/ebook_search/api/routes/admin.py

@@ -1,107 +0,0 @@
-"""Admin routes for the EPUB search web UI."""
-
-from __future__ import annotations
-
-import logging
-from dataclasses import replace
-
-from fastapi import APIRouter, Request
-from fastapi.responses import HTMLResponse
-from sqlalchemy.orm import Session
-
-from python.ebook_search.api.bm25_tasks import schedule_bm25_refresh
-from python.ebook_search.api.web import templates
-from python.ebook_search.embeddings import embed_missing_chunks, embedding_model_stats
-from python.ebook_search.ingest import ingest_configured_paths
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter(prefix="/admin")
-EMBED_ALL_BATCH_SIZE = 32
-
-
-@router.get("", response_class=HTMLResponse)
-def admin(request: Request) -> HTMLResponse:
-    """Render the admin page."""
-    with Session(request.app.state.engine) as session:
-        stats = embedding_model_stats(session)
-    logger.info("ebook_admin_page_loaded models=%s", len(stats))
-    return templates.TemplateResponse(request, "admin.html", {"config": request.app.state.config, "stats": stats})
-
-
-@router.post("/scan", response_class=HTMLResponse)
-def scan_library(request: Request) -> HTMLResponse:
-    """Scan configured library paths for EPUB changes."""
-    try:
-        with Session(request.app.state.engine) as session:
-            count = ingest_configured_paths(session, request.app.state.config)
-            session.commit()
-    except Exception as error:
-        logger.exception("ebook_admin_scan_failed")
-        return templates.TemplateResponse(request, "partials/error.html", {"message": str(error)}, status_code=500)
-
-    logger.info("ebook_admin_scan_complete changed_files=%s", count)
-    if count > 0:
-        schedule_bm25_refresh(request.app)
-    return templates.TemplateResponse(request, "partials/admin_status.html", {"message": f"Indexed {count} EPUBs"})
-
-
-@router.post("/embed-missing", response_class=HTMLResponse)
-def embed_missing(request: Request) -> HTMLResponse:
-    """Embed chunks missing vectors for the configured model."""
-    try:
-        with Session(request.app.state.engine) as session:
-            count = embed_missing_chunks(session, request.app.state.config)
-            session.commit()
-    except Exception as error:
-        logger.exception("ebook_admin_embed_missing_failed")
-        return templates.TemplateResponse(request, "partials/error.html", {"message": str(error)}, status_code=500)
-
-    logger.info("ebook_admin_embed_missing_complete chunks=%s", count)
-    return templates.TemplateResponse(
-        request,
-        "partials/admin_status.html",
-        {"message": f"Embedded {count} chunks"},
-    )
-
-
-@router.post("/embed-all", response_class=HTMLResponse)
-def embed_all(request: Request) -> HTMLResponse:
-    """Embed all chunks missing vectors in fixed-size batches."""
-    total = 0
-    batches = 0
-    config = replace(request.app.state.config, embedding_batch_size=EMBED_ALL_BATCH_SIZE)
-    try:
-        with Session(request.app.state.engine) as session:
-            while True:
-                count = embed_missing_chunks(session, config)
-                if count == 0:
-                    break
-                session.commit()
-                total += count
-                batches += 1
-                logger.info(
-                    "ebook_admin_embed_all_batch_complete batch=%s chunks=%s total_chunks=%s",
-                    batches,
-                    count,
-                    total,
-                )
-    except Exception as error:
-        logger.exception(
-            "ebook_admin_embed_all_failed batches=%s chunks=%s",
-            batches,
-            total,
-        )
-        return templates.TemplateResponse(
-            request,
-            "partials/error.html",
-            {"message": f"Embed all failed after {total} chunks in {batches} batches: {error}"},
-            status_code=500,
-        )
-
-    logger.info("ebook_admin_embed_all_complete batches=%s chunks=%s", batches, total)
-    return templates.TemplateResponse(
-        request,
-        "partials/admin_status.html",
-        {"message": f"Embedded {total} chunks in {batches} batches of {EMBED_ALL_BATCH_SIZE}"},
-    )

python/ebook_search/api/routes/page.py

@@ -1,57 +0,0 @@
-"""Page routes for the EPUB search web UI."""
-
-from __future__ import annotations
-
-import logging
-
-from fastapi import APIRouter, Request
-from fastapi.responses import HTMLResponse
-from sqlalchemy import select
-from sqlalchemy.orm import Session
-
-from python.ebook_search.api.web import templates
-from python.orm.richie import EbookSource
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter()
-
-
-@router.get("/", response_class=HTMLResponse)
-def index(request: Request) -> HTMLResponse:
-    """Render the search page."""
-    return templates.TemplateResponse(request, "search.html", {"config": request.app.state.config})
-
-
-@router.get("/books", response_class=HTMLResponse)
-def books(request: Request) -> HTMLResponse:
-    """Render the indexed books page."""
-    with Session(request.app.state.engine) as session:
-        sources = list(session.scalars(select(EbookSource).order_by(EbookSource.title)).all())
-    logger.info("ebook_books_page_loaded count=%s", len(sources))
-    return templates.TemplateResponse(request, "books.html", {"sources": sources})
-
-
-@router.get("/books/{source_id}", response_class=HTMLResponse)
-def book_detail(source_id: int, request: Request) -> HTMLResponse:
-    """Render details for one indexed book."""
-    with Session(request.app.state.engine) as session:
-        source = session.get(EbookSource, source_id)
-        if source is not None:
-            chapter_count = len(source.chapters)
-            chunk_count = len(source.chunks)
-        else:
-            chapter_count = 0
-            chunk_count = 0
-    logger.info(
-        "ebook_book_detail_loaded source_id=%s found=%s chapters=%s chunks=%s",
-        source_id,
-        source is not None,
-        chapter_count,
-        chunk_count,
-    )
-    return templates.TemplateResponse(
-        request,
-        "book_detail.html",
-        {"chapter_count": chapter_count, "chunk_count": chunk_count, "source": source},
-    )

python/ebook_search/api/routes/search.py

@@ -1,58 +0,0 @@
-"""Search routes for the EPUB search web UI."""
-
-from __future__ import annotations
-
-import logging
-from dataclasses import replace
-from time import perf_counter
-from typing import Annotated
-
-from fastapi import APIRouter, Form, Request
-from fastapi.responses import HTMLResponse
-
-from python.ebook_search.answer import answer_query
-from python.ebook_search.api.web import templates
-from python.ebook_search.search import search_ebooks
-from python.ebook_search.timing import runtime_step_from_start
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter()
-
-
-@router.post("/search", response_class=HTMLResponse)
-def search(
-    request: Request,
-    query: Annotated[str, Form()],
-    rerank: Annotated[str | None, Form()] = None,
-) -> HTMLResponse:
-    """Run a search and render HTMX results."""
-    try:
-        response = search_ebooks(request.app.state.engine, query, request.app.state.config, rerank=rerank == "true")
-    except Exception as error:
-        logger.exception("ebook_search_request_failed")
-        return templates.TemplateResponse(request, "partials/error.html", {"message": str(error)}, status_code=500)
-
-    answer_start = perf_counter()
-    if request.app.state.config.answer_enabled:
-        try:
-            answer = answer_query(query, response.results, request.app.state.config)
-        except RuntimeError as error:
-            logger.warning("ebook_answer_request_failed_falling_back error=%s", error)
-            answer = "Answer generation failed. Source chunks are still shown below."
-    else:
-        logger.info("ebook_answer_skipped_disabled")
-        answer = "Answer generation is disabled. Source chunks are shown below."
-    answer_step_name = "Answer generation" if request.app.state.config.answer_enabled else "Answer skipped"
-    response = replace(
-        response,
-        timings=(*response.timings, runtime_step_from_start(answer_step_name, answer_start)),
-    )
-
-    logger.info(
-        "ebook_search_request_complete results=%s rank_label=%s runtime_ms=%.1f",
-        len(response.results),
-        response.rank_label,
-        response.total_runtime_ms,
-    )
-    return templates.TemplateResponse(request, "partials/results.html", {"answer": answer, "response": response})

python/ebook_search/api/static/style.css

@@ -1,140 +0,0 @@
-body {
-    margin: 0;
-    background: #f7f7f4;
-    color: #202124;
-    font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
-}
-
-main {
-    max-width: 960px;
-    margin: 0 auto;
-    padding: 24px;
-}
-
-nav {
-    display: flex;
-    gap: 12px;
-    align-items: center;
-    margin-bottom: 20px;
-}
-
-nav form {
-    margin: 0;
-}
-
-.actions {
-    display: flex;
-    flex-wrap: wrap;
-    gap: 12px;
-    margin-bottom: 24px;
-}
-
-textarea {
-    display: block;
-    width: 100%;
-    margin: 8px 0 12px;
-}
-
-button {
-    padding: 8px 14px;
-}
-
-.check {
-    display: inline-flex;
-    gap: 8px;
-    align-items: center;
-    margin-right: 12px;
-}
-
-.rank-label {
-    margin-top: 24px;
-    font-weight: 700;
-}
-
-.results {
-    padding-left: 24px;
-}
-
-.meta,
-.scores,
-.status {
-    color: #626a73;
-}
-
-.scores {
-    display: flex;
-    flex-wrap: wrap;
-    gap: 8px;
-    margin: 12px 0;
-}
-
-.scores div {
-    display: inline-flex;
-    gap: 4px;
-    align-items: baseline;
-}
-
-.scores dt {
-    font-weight: 700;
-}
-
-.scores dd {
-    margin: 0;
-}
-
-.runtime {
-    margin-top: 16px;
-}
-
-.timing-chart {
-    display: grid;
-    gap: 8px;
-    padding: 0;
-    list-style: none;
-}
-
-.timing-chart li {
-    display: grid;
-    grid-template-columns: minmax(150px, 1fr) minmax(160px, 2fr) auto auto;
-    gap: 8px;
-    align-items: center;
-}
-
-.timing-bar {
-    height: 10px;
-    overflow: hidden;
-    background: #e5e5df;
-}
-
-.timing-bar span {
-    display: block;
-    height: 100%;
-    background: #3767c8;
-}
-
-.timing-value,
-.timing-remaining {
-    color: #626a73;
-    font-variant-numeric: tabular-nums;
-}
-
-table {
-    width: 100%;
-    border-collapse: collapse;
-}
-
-th,
-td {
-    padding: 8px;
-    border-bottom: 1px solid #d8d8d2;
-    text-align: left;
-}
-
-th {
-    font-weight: 700;
-}
-
-.error {
-    color: #9f1d20;
-    font-weight: 700;
-}

python/ebook_search/api/templates/admin.html

@@ -1,57 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>EPUB Admin</title>
-    <script src="https://unpkg.com/htmx.org@2.0.4"></script>
-    <link rel="stylesheet" href="/static/style.css">
-</head>
-<body>
-    <main>
-        <nav>
-            <a href="/">Search</a>
-            <a href="/books">Books</a>
-            <a href="/admin">Admin</a>
-        </nav>
-        <h1>Admin</h1>
-        <section id="admin-status"></section>
-        <section class="actions">
-            <form hx-post="/admin/scan" hx-target="#admin-status" hx-swap="innerHTML">
-                <button type="submit">Scan</button>
-            </form>
-            <form hx-post="/admin/embed-missing" hx-target="#admin-status" hx-swap="innerHTML">
-                <button type="submit">Embed</button>
-            </form>
-            <form hx-post="/admin/embed-all" hx-target="#admin-status" hx-swap="innerHTML">
-                <button type="submit">Embed all</button>
-            </form>
-        </section>
-        <section>
-            <h2>Embeddings</h2>
-            <table>
-                <thead>
-                    <tr>
-                        <th>Model</th>
-                        <th>Dimensions</th>
-                        <th>Embedded</th>
-                        <th>Missing</th>
-                        <th>Total chunks</th>
-                    </tr>
-                </thead>
-                <tbody>
-                    {% for item in stats %}
-                        <tr>
-                            <td>{{ item.model_name }}</td>
-                            <td>{{ item.dimension }}</td>
-                            <td>{{ item.embedded_chunks }}</td>
-                            <td>{{ item.missing_chunks }}</td>
-                            <td>{{ item.total_chunks }}</td>
-                        </tr>
-                    {% endfor %}
-                </tbody>
-            </table>
-        </section>
-    </main>
-</body>
-</html>

python/ebook_search/api/templates/book_detail.html

@@ -1,32 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>{% if source %}{{ source.title }}{% else %}Book not found{% endif %}</title>
-    <link rel="stylesheet" href="/static/style.css">
-</head>
-<body>
-    <main>
-        <nav>
-            <a href="/">Search</a>
-            <a href="/books">Books</a>
-            <a href="/admin">Admin</a>
-        </nav>
-        {% if source %}
-            <h1>{{ source.title }}</h1>
-            <p class="meta">{{ source.author or "Unknown author" }}</p>
-            <dl>
-                <dt>File</dt>
-                <dd>{{ source.file_path }}</dd>
-                <dt>Chapters</dt>
-                <dd>{{ chapter_count }}</dd>
-                <dt>Chunks</dt>
-                <dd>{{ chunk_count }}</dd>
-            </dl>
-        {% else %}
-            <h1>Book not found</h1>
-        {% endif %}
-    </main>
-</body>
-</html>

python/ebook_search/api/templates/books.html

@@ -1,31 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>EPUB Books</title>
-    <link rel="stylesheet" href="/static/style.css">
-</head>
-<body>
-    <main>
-        <nav>
-            <a href="/">Search</a>
-            <a href="/books">Books</a>
-            <a href="/admin">Admin</a>
-        </nav>
-        <h1>Books</h1>
-        {% if sources %}
-            <ol class="results">
-                {% for source in sources %}
-                    <li>
-                        <h2><a href="/books/{{ source.id }}">{{ source.title }}</a></h2>
-                        <p class="meta">{{ source.author or "Unknown author" }}</p>
-                    </li>
-                {% endfor %}
-            </ol>
-        {% else %}
-            <p>No EPUBs indexed.</p>
-        {% endif %}
-    </main>
-</body>
-</html>

python/ebook_search/api/templates/partials/admin_status.html

@@ -1 +0,0 @@
-<p class="status">{{ message }}</p>

python/ebook_search/api/templates/partials/error.html

@@ -1 +0,0 @@
-<p class="error">{{ message }}</p>

python/ebook_search/api/templates/partials/results.html

@@ -1,74 +0,0 @@
-<div class="rank-label">{{ response.rank_label }}</div>
-{% if response.timings %}
-    <section class="runtime">
-        <h2>Runtime</h2>
-        <p class="meta">Total {{ "%.1f"|format(response.total_runtime_ms) }} ms</p>
-        <ol class="timing-chart">
-            {% set total = response.total_runtime_ms %}
-            {% set ns = namespace(remaining=total) %}
-            {% for step in response.timings %}
-                {% set width = (step.duration_ms / total * 100) if total else 0 %}
-                {% if step.counts_toward_total %}
-                    {% set ns.remaining = ns.remaining - step.duration_ms %}
-                {% endif %}
-                <li>
-                    <span class="timing-label">{{ step.name }}</span>
-                    <span class="timing-bar"><span style="width: {{ "%.2f"|format(width) }}%"></span></span>
-                    <span class="timing-value">{{ "%.1f"|format(step.duration_ms) }} ms</span>
-                    <span class="timing-remaining">{{ "%.1f"|format([ns.remaining, 0]|max) }} ms left</span>
-                </li>
-            {% endfor %}
-        </ol>
-    </section>
-{% endif %}
-<section class="answer">
-    <h2>Answer</h2>
-    <p>{{ answer }}</p>
-</section>
-{% if response.results %}
-    <ol class="results">
-        {% for result in response.results %}
-            <li>
-                <h2>{{ result.source_title }}</h2>
-                <p class="meta">
-                    {% if result.source_author %}{{ result.source_author }}{% endif %}
-                    {% if result.chapter_title %} · {{ result.chapter_title }}{% endif %}
-                    {% if result.page_label %} · page {{ result.page_label }}{% endif %}
-                </p>
-                <p>{{ result.text }}</p>
-                <dl class="scores">
-                    <div>
-                        <dt>final</dt>
-                        <dd>{{ "%.3f"|format(result.score) }}</dd>
-                    </div>
-                    {% if result.rerank_score is not none %}
-                        <div>
-                            <dt>rerank</dt>
-                            <dd>{{ "%.3f"|format(result.rerank_score) }}</dd>
-                        </div>
-                    {% endif %}
-                    {% if result.vector_score is not none %}
-                        <div>
-                            <dt>vector cosine</dt>
-                            <dd>{{ "%.3f"|format(result.vector_score) }}</dd>
-                        </div>
-                    {% endif %}
-                    {% if result.bm25_score is not none %}
-                        <div>
-                            <dt>BM25</dt>
-                            <dd>{{ "%.6f"|format(result.bm25_score) }}</dd>
-                        </div>
-                    {% endif %}
-                    {% if result.fused_score is not none %}
-                        <div>
-                            <dt>RRF</dt>
-                            <dd>{{ "%.3f"|format(result.fused_score) }}</dd>
-                        </div>
-                    {% endif %}
-                </dl>
-            </li>
-        {% endfor %}
-    </ol>
-{% else %}
-    <p>No results.</p>
-{% endif %}

python/ebook_search/api/templates/search.html

@@ -1,30 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>EPUB Search</title>
-    <script src="https://unpkg.com/htmx.org@2.0.4"></script>
-    <link rel="stylesheet" href="/static/style.css">
-</head>
-<body>
-    <main>
-        <nav>
-            <a href="/">Search</a>
-            <a href="/books">Books</a>
-            <a href="/admin">Admin</a>
-        </nav>
-        <h1>EPUB Search</h1>
-        <form hx-post="/search" hx-target="#results" hx-swap="innerHTML">
-            <label for="query">Search</label>
-            <textarea id="query" name="query" rows="4" required></textarea>
-            <label class="check">
-                <input type="checkbox" name="rerank" value="true" {% if config.rerank.enabled %}checked{% endif %}>
-                Rerank
-            </label>
-            <button type="submit">Search</button>
-        </form>
-        <section id="results"></section>
-    </main>
-</body>
-</html>

python/ebook_search/api/web.py

@@ -1,13 +0,0 @@
-"""Shared web UI resources for EPUB search."""
-
-from __future__ import annotations
-
-from pathlib import Path
-
-from fastapi.templating import Jinja2Templates
-
-PACKAGE_DIR = Path(__file__).resolve().parent
-TEMPLATE_DIR = PACKAGE_DIR / "templates"
-STATIC_DIR = PACKAGE_DIR / "static"
-
-templates = Jinja2Templates(directory=TEMPLATE_DIR)

python/ebook_search/bm25_corpus.py

@@ -1,281 +0,0 @@
-"""Persisted BM25 corpus management."""
-
-from __future__ import annotations
-
-import json
-import logging
-import shutil
-from dataclasses import dataclass
-from datetime import UTC, datetime
-from functools import cache
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import bm25s
-from sqlalchemy import func, select, union_all
-
-from python.orm.richie import EbookChapter, EbookChunk, EbookSource
-
-if TYPE_CHECKING:
-    from sqlalchemy.orm import Session
-
-    from python.ebook_search.config import EbookSearchConfig
-
-logger = logging.getLogger(__name__)
-MANIFEST_NAME = "manifest.json"
-REQUIRED_INDEX_FILES = frozenset(
-    {
-        "data.csc.index.npy",
-        "indices.csc.index.npy",
-        "indptr.csc.index.npy",
-        "params.index.json",
-        "vocab.index.json",
-        "corpus.jsonl",
-    }
-)
-
-
-@dataclass(frozen=True)
-class BM25Manifest:
-    """Metadata describing a persisted BM25 corpus."""
-
-    created_at: datetime
-    db_updated_at: datetime | None
-    chunk_count: int
-
-
-@dataclass(frozen=True)
-class BM25Corpus:
-    """Loaded persisted BM25 corpus and retriever."""
-
-    retriever: object | None
-    records: tuple[dict[str, object], ...]
-    manifest: BM25Manifest
-
-
-class BM25CorpusUnavailableError(RuntimeError):
-    """Raised when the persisted BM25 corpus cannot be loaded."""
-
-
-def bm25_index_path(config: EbookSearchConfig) -> Path:
-    """Return the configured BM25 index root path relative to the current working directory."""
-    path = Path(config.bm25_index_dir).expanduser()
-    if path.is_absolute():
-        return path
-    return Path.cwd() / path
-
-
-def get_current_bm25_index(index_path: Path) -> Path:
-    """Return the live BM25 index directory."""
-    current_path = index_path / "current"
-    if current_path.exists() or current_path.is_symlink():
-        return current_path
-    return index_path
-
-
-def ensure_bm25_corpus(session: Session, config: EbookSearchConfig) -> None:
-    """Create or refresh the persisted BM25 corpus when it is missing or stale."""
-    index_path = bm25_index_path(config)
-    manifest = read_bm25_manifest(index_path)
-    db_updated_at = corpus_last_updated_at(session)
-    if not bm25_index_exists(index_path, manifest):
-        logger.info("ebook_bm25_index_missing path=%s", index_path)
-        refresh_bm25_corpus(session, config, db_updated_at=db_updated_at)
-        return
-    if db_updated_at is not None and manifest is not None and manifest.created_at < db_updated_at:
-        logger.info(
-            "ebook_bm25_index_stale path=%s created_at=%s db_updated_at=%s",
-            index_path,
-            manifest.created_at.isoformat(),
-            db_updated_at.isoformat(),
-        )
-        refresh_bm25_corpus(session, config, db_updated_at=db_updated_at)
-        return
-    logger.info(
-        "ebook_bm25_index_current path=%s chunks=%s created_at=%s",
-        index_path,
-        manifest.chunk_count if manifest else 0,
-        manifest.created_at.isoformat() if manifest else None,
-    )
-
-
-def refresh_bm25_corpus(
-    session: Session,
-    config: EbookSearchConfig,
-    *,
-    db_updated_at: datetime | None = None,
-) -> BM25Manifest:
-    """Rebuild and persist the BM25 corpus from the current database chunks."""
-    index_path = bm25_index_path(config)
-    records, texts = fetch_bm25_corpus_records(session)
-    manifest = BM25Manifest(
-        created_at=datetime.now(tz=UTC),
-        db_updated_at=db_updated_at if db_updated_at is not None else corpus_last_updated_at(session),
-        chunk_count=len(records),
-    )
-    write_bm25_corpus(index_path, records, texts, manifest)
-    logger.info(
-        "ebook_bm25_index_refreshed path=%s chunks=%s created_at=%s",
-        index_path,
-        manifest.chunk_count,
-        manifest.created_at.isoformat(),
-    )
-    return manifest
-
-
-@cache
-def load_bm25_corpus(config: EbookSearchConfig) -> BM25Corpus:
-    """Load the BM25 corpus into memory once per process.
-
-    Background refresh tasks clear this cache after rebuilding the on-disk corpus.
-    """
-    index_path = bm25_index_path(config)
-    active_index_path = get_current_bm25_index(index_path)
-    logger.info("ebook_bm25_corpus_cache_load path=%s active_path=%s", index_path, active_index_path)
-    manifest = read_bm25_manifest(index_path)
-    if manifest is None or not bm25_index_exists(index_path, manifest):
-        msg = f"BM25 corpus is not available: {index_path}"
-        raise BM25CorpusUnavailableError(msg)
-    if manifest.chunk_count == 0:
-        return BM25Corpus(retriever=None, records=(), manifest=manifest)
-
-    retriever = bm25s.BM25.load(active_index_path, load_corpus=True, mmap=True)
-    records = tuple(dict(record) for record in retriever.corpus)
-    return BM25Corpus(retriever=retriever, records=records, manifest=manifest)
-
-
-def score_bm25_corpus(query: str, corpus: BM25Corpus, *, limit: int) -> list[tuple[dict[str, object], float]]:
-    """Score a query against a loaded BM25 corpus."""
-    if corpus.retriever is None or not corpus.records:
-        return []
-    k = min(limit, len(corpus.records))
-    documents, scores = corpus.retriever.retrieve(
-        bm25s.tokenize(query, show_progress=False),
-        corpus=list(corpus.records),
-        k=k,
-        show_progress=False,
-    )
-    results: list[tuple[dict[str, object], float]] = []
-    for document, score in zip(documents[0], scores[0], strict=True):
-        score_value = float(score)
-        if score_value <= 0:
-            continue
-        results.append((dict(document), score_value))
-    return results
-
-
-def fetch_bm25_corpus_records(session: Session) -> tuple[list[dict[str, object]], list[str]]:
-    """Fetch persistable BM25 corpus records and their matching index texts from the database.
-
-    search_text is only needed to build the index, so it is returned separately instead of
-    being persisted into the corpus records, which would double the corpus size.
-    """
-    statement = (
-        select(
-            EbookChunk.id.label("chunk_id"),
-            EbookChunk.text.label("text"),
-            EbookSource.title.label("source_title"),
-            EbookSource.author.label("source_author"),
-            EbookChapter.title.label("chapter_title"),
-            EbookChunk.page_label.label("page_label"),
-            EbookChunk.search_text.label("bm25_text"),
-        )
-        .select_from(EbookChunk)
-        .join(EbookSource, EbookSource.id == EbookChunk.source_id)
-        .outerjoin(EbookChapter, EbookChapter.id == EbookChunk.chapter_id)
-        .order_by(EbookChunk.id)
-    )
-    records: list[dict[str, object]] = []
-    texts: list[str] = []
-    for row in session.execute(statement).mappings():
-        record = dict(row)
-        texts.append(str(record.pop("bm25_text")))
-        records.append(record)
-    return records, texts
-
-
-def corpus_last_updated_at(session: Session) -> datetime | None:
-    """Return the latest source/chapter/chunk update timestamp relevant to BM25 text."""
-    update_times = union_all(
-        select(func.max(EbookSource.updated).label("updated")),
-        select(func.max(EbookChapter.updated).label("updated")),
-        select(func.max(EbookChunk.updated).label("updated")),
-    ).subquery()
-    return session.scalar(select(func.max(update_times.c.updated)))
-
-
-def write_bm25_corpus(
-    index_path: Path,
-    records: list[dict[str, object]],
-    texts: list[str],
-    manifest: BM25Manifest,
-) -> None:
-    """Write a BM25 corpus generation and publish it through the current symlink."""
-    index_path.mkdir(parents=True, exist_ok=True)
-
-    generations_path = index_path / "generations"
-    generations_path.mkdir(exist_ok=True)
-
-    generation_path = next_bm25_generation_path(generations_path, manifest.created_at)
-    current_path = index_path / "current"
-    next_current_path = index_path / f".current.{generation_path.name}.tmp"
-    try:
-        generation_path.mkdir()
-
-        # Empty corpora publish a manifest-only generation so startup succeeds before any chunks exist.
-        if records:
-            retriever = bm25s.BM25()
-            retriever.index(bm25s.tokenize(texts, show_progress=False), show_progress=False)
-            retriever.save(generation_path, corpus=records, show_progress=False)
-        write_bm25_manifest(generation_path, manifest)
-        next_current_path.unlink(missing_ok=True)
-        next_current_path.symlink_to(generation_path, target_is_directory=True)
-        next_current_path.replace(current_path)
-    except Exception:
-        next_current_path.unlink(missing_ok=True)
-        shutil.rmtree(generation_path, ignore_errors=True)
-        raise
-
-
-def read_bm25_manifest(index_path: Path) -> BM25Manifest | None:
-    """Read the BM25 manifest if it exists and is valid."""
-    manifest_path = get_current_bm25_index(index_path) / MANIFEST_NAME
-    if not manifest_path.exists():
-        return None
-    body = json.loads(manifest_path.read_text(encoding="utf-8"))
-    return BM25Manifest(
-        created_at=datetime.fromisoformat(str(body["created_at"])),
-        db_updated_at=datetime.fromisoformat(str(body["db_updated_at"])) if body.get("db_updated_at") else None,
-        chunk_count=int(body["chunk_count"]),
-    )
-
-
-def write_bm25_manifest(index_path: Path, manifest: BM25Manifest) -> None:
-    """Write the BM25 manifest to an index directory."""
-    body = {
-        "created_at": manifest.created_at.isoformat(),
-        "db_updated_at": manifest.db_updated_at.isoformat() if manifest.db_updated_at else None,
-        "chunk_count": manifest.chunk_count,
-    }
-    (index_path / MANIFEST_NAME).write_text(json.dumps(body, indent=2, sort_keys=True), encoding="utf-8")
-
-
-def bm25_index_exists(index_path: Path, manifest: BM25Manifest | None) -> bool:
-    """Return whether a usable persisted BM25 index exists."""
-    active_index_path = get_current_bm25_index(index_path)
-    if manifest is None or not active_index_path.is_dir():
-        return False
-    if manifest.chunk_count == 0:
-        return True
-    return all((active_index_path / file_name).exists() for file_name in REQUIRED_INDEX_FILES)
-
-
-def next_bm25_generation_path(generations_path: Path, created_at: datetime) -> Path:
-    """Return an unused dated BM25 generation path."""
-    base_name = created_at.astimezone(UTC).strftime("%Y%m%dT%H%M%S.%fZ")
-    generation_path = generations_path / base_name
-    suffix = 1
-    while generation_path.exists():
-        generation_path = generations_path / f"{base_name}.{suffix}"
-        suffix += 1
-    return generation_path

python/ebook_search/config.py

@@ -1,117 +0,0 @@
-"""Configuration for the EPUB search app."""
-
-from __future__ import annotations
-
-from dataclasses import dataclass
-from os import getenv
-
-
-def getenv_bool(name: str, *, default: bool) -> bool:
-    """Read a boolean environment variable with a default fallback."""
-    value = getenv(name)
-    if value is None:
-        return default
-    return value.strip().lower() in {"1", "true", "yes", "on"}
-
-
-def getenv_int(name: str, *, default: int) -> int:
-    """Read an integer environment variable with a default fallback."""
-    value = getenv(name)
-    if value is None or not value.strip():
-        return default
-    return int(value)
-
-
-@dataclass(frozen=True)
-class RerankConfig:
-    """vLLM reranker settings."""
-
-    enabled: bool = False
-    base_url: str = "http://192.168.90.25:8001"
-    model: str = "qwen3-reranker-06b"
-    candidates: int = 24
-    timeout_seconds: float = 30.0
-
-
-@dataclass(frozen=True)
-class EbookSearchConfig:
-    """Runtime settings for EPUB search."""
-
-    rerank: RerankConfig
-    top_k: int = 12
-    library_paths: tuple[str, ...] = ()
-    vllm_base_url: str = "https://ollama.com/v1"
-    vllm_api_key: str = "not-needed"
-    chat_model: str = "deepseek-v4-flash"
-    answer_enabled: bool = True
-    embedding_base_url: str = "http://192.168.90.25:8000/v1"
-    embedding_api_key: str = "not-needed"
-    embedding_model: str = "qwen3-embedding-0.6b"
-    embedding_batch_size: int = 32
-    bm25_index_dir: str = ".ebook_search_bm25"
-    bm25_refresh_delay_seconds: int = 60
-
-
-def load_rerank_config() -> RerankConfig:
-    """Load reranker config from environment variables."""
-    return RerankConfig(
-        enabled=getenv_bool("EBOOK_SEARCH_RERANK_ENABLED", default=False),
-        base_url=getenv("EBOOK_SEARCH_RERANK_BASE_URL", "http://192.168.90.25:8001"),
-        model=getenv("EBOOK_SEARCH_RERANK_MODEL", "qwen3-reranker-06b"),
-        candidates=getenv_int("EBOOK_SEARCH_RERANK_CANDIDATES", default=24),
-        timeout_seconds=float(getenv_int("EBOOK_SEARCH_RERANK_TIMEOUT_SECONDS", default=30)),
-    )
-
-
-def load_config() -> EbookSearchConfig:
-    """Load EPUB search config from environment variables."""
-    return EbookSearchConfig(
-        rerank=load_rerank_config(),
-        top_k=getenv_int("EBOOK_SEARCH_TOP_K", default=12),
-        library_paths=library_paths_from_env(),
-        vllm_base_url=getenv("EBOOK_SEARCH_VLLM_BASE_URL", "https://ollama.com/v1"),
-        vllm_api_key=getenv("EBOOK_SEARCH_VLLM_API_KEY") or getenv("OLLAMA_API_KEY") or "not-needed",
-        chat_model=getenv("EBOOK_SEARCH_CHAT_MODEL", "deepseek-v4-flash"),
-        answer_enabled=getenv_bool("EBOOK_SEARCH_ANSWER_ENABLED", default=True),
-        embedding_base_url=getenv("EBOOK_SEARCH_EMBEDDING_BASE_URL", "http://192.168.90.25:8000/v1"),
-        embedding_api_key=getenv("EBOOK_SEARCH_EMBEDDING_API_KEY", "not-needed"),
-        embedding_model=normalize_embedding_model(),
-        embedding_batch_size=getenv_int("EBOOK_SEARCH_EMBEDDING_BATCH_SIZE", default=32),
-        bm25_index_dir=getenv("EBOOK_SEARCH_BM25_INDEX_DIR", ".ebook_search_bm25"),
-        bm25_refresh_delay_seconds=getenv_int("EBOOK_SEARCH_BM25_REFRESH_DELAY_SECONDS", default=60),
-    )
-
-
-def normalize_embedding_model(default: str = "qwen3-embedding-0.6b") -> str:
-    """Normalize supported embedding aliases to provider model names."""
-    aliases = {
-        "Qwen3-Embedding-0.6B": "qwen3-embedding-0.6b",
-        "Qwen3-Embedding-4B": "qwen3-embedding-4b",
-        "Qwen3-Embedding-8B": "qwen3-embedding-8b",
-        "Qwen/Qwen3-Embedding-0.6B": "qwen3-embedding-0.6b",
-        "Qwen/Qwen3-Embedding-4B": "qwen3-embedding-4b",
-        "Qwen/Qwen3-Embedding-8B": "qwen3-embedding-8b",
-        "qwen3-embedding:0.6b": "qwen3-embedding-0.6b",
-        "qwen3-embedding:4b": "qwen3-embedding-4b",
-        "qwen3-embedding:8b": "qwen3-embedding-8b",
-        "qwen3-embedding-0.6b": "qwen3-embedding-0.6b",
-        "qwen3-embedding-4b": "qwen3-embedding-4b",
-        "qwen3-embedding-8b": "qwen3-embedding-8b",
-    }
-
-    model = getenv("EBOOK_SEARCH_EMBEDDING_MODEL", default)
-    standard_model = aliases.get(model)
-
-    if standard_model is None:
-        error = f"Embedding model {model} is not supported. Supported models are {aliases.keys()}"
-        raise ValueError(error)
-
-    return standard_model
-
-
-def library_paths_from_env() -> tuple[str, ...]:
-    """Read configured EPUB library paths from the environment."""
-    value = getenv("EBOOK_SEARCH_LIBRARY_PATHS")
-    if value is None:
-        return ()
-    return tuple(path for path in value.split(":") if path)

python/ebook_search/embeddings.py

@@ -1,170 +0,0 @@
-"""Embedding model helpers."""
-
-from __future__ import annotations
-
-import logging
-from dataclasses import dataclass
-from typing import TYPE_CHECKING
-
-from sqlalchemy import func, select
-from sqlalchemy.dialects.postgresql import insert
-
-from python.ebook_search.llm_interface import request_embeddings
-from python.orm.richie import (
-    EbookChunk,
-    EbookChunkEmbedding1024,
-    EbookChunkEmbedding2560,
-    EbookChunkEmbedding4096,
-    EbookEmbeddingModel,
-)
-
-logger = logging.getLogger(__name__)
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-    from sqlalchemy.orm import Session
-
-    from python.ebook_search.config import EbookSearchConfig
-
-MODEL_DIMENSIONS = {
-    "qwen3-embedding-0.6b": 1024,
-    "qwen3-embedding-4b": 2560,
-    "qwen3-embedding-8b": 4096,
-}
-
-
-def get_embedding_table(
-    dimension: int,
-) -> type[EbookChunkEmbedding1024 | EbookChunkEmbedding2560 | EbookChunkEmbedding4096]:
-    """Return the embedding table mapped to an embedding dimension."""
-    embedding_tables = {
-        1024: EbookChunkEmbedding1024,
-        2560: EbookChunkEmbedding2560,
-        4096: EbookChunkEmbedding4096,
-    }
-    table = embedding_tables.get(dimension)
-    if not table:
-        msg = f"Embedding dimension {dimension} is not supported"
-        raise ValueError(msg)
-    return table
-
-
-@dataclass(frozen=True)
-class EmbeddingModelStats:
-    """Embedding coverage for one model."""
-
-    model_name: str
-    dimension: int
-    embedded_chunks: int
-    total_chunks: int
-
-    @property
-    def missing_chunks(self) -> int:
-        """Return chunks missing this embedding model."""
-        return max(self.total_chunks - self.embedded_chunks, 0)
-
-
-def embed_texts(texts: Sequence[str], config: EbookSearchConfig) -> list[list[float]]:
-    """Embed text with the configured vLLM embedding model."""
-    logger.info(
-        "ebook_embed_request_start base_url=%s model=%s count=%s",
-        config.embedding_base_url,
-        config.embedding_model,
-        len(texts),
-    )
-    vectors = request_embeddings(texts, config)
-    expected_dimension = MODEL_DIMENSIONS[config.embedding_model]
-    for vector in vectors:
-        if len(vector) != expected_dimension:
-            msg = f"Expected {expected_dimension} dimensions, got {len(vector)}"
-            raise ValueError(msg)
-    logger.info(
-        "ebook_embed_request_complete model=%s count=%s dimension=%s",
-        config.embedding_model,
-        len(vectors),
-        expected_dimension,
-    )
-    return vectors
-
-
-def embed_query(query: str, config: EbookSearchConfig) -> list[float]:
-    """Embed a search query with the Qwen retrieval instruction."""
-    instructed_query = f"Instruct: Retrieve relevant passages for the query.\nQuery: {query}"
-    return embed_texts([instructed_query], config)[0]
-
-
-def ensure_embedding_models(session: Session) -> None:
-    """Ensure supported embedding model rows exist."""
-    for name, dimension in MODEL_DIMENSIONS.items():
-        existing = session.scalar(select(EbookEmbeddingModel).where(EbookEmbeddingModel.name == name))
-        if existing is None:
-            session.add(EbookEmbeddingModel(name=name, dimension=dimension, is_default=name == "qwen3-embedding-0.6b"))
-            logger.info("ebook_embedding_model_created model=%s dimension=%s", name, dimension)
-    session.flush()
-
-
-def embedding_model_stats(session: Session) -> list[EmbeddingModelStats]:
-    """Return embedding coverage counts for every supported model."""
-    total_chunks = session.scalar(select(func.count(EbookChunk.id))) or 0
-    models = {
-        model.name: model
-        for model in session.scalars(
-            select(EbookEmbeddingModel)
-            .where(EbookEmbeddingModel.name.in_(MODEL_DIMENSIONS))
-            .order_by(EbookEmbeddingModel.name)
-        )
-    }
-
-    stats: list[EmbeddingModelStats] = []
-    for model_name, dimension in MODEL_DIMENSIONS.items():
-        model = models.get(model_name)
-        embedded_chunks = 0
-        if model is not None:
-            table = get_embedding_table(dimension)
-            embedded_chunks = session.scalar(select(func.count(table.id)).where(table.model_id == model.id)) or 0
-        stats.append(
-            EmbeddingModelStats(
-                model_name=model_name,
-                dimension=dimension,
-                embedded_chunks=embedded_chunks,
-                total_chunks=total_chunks,
-            )
-        )
-    return stats
-
-
-def embed_missing_chunks(session: Session, config: EbookSearchConfig) -> int:
-    """Embed chunks missing embeddings for the configured model."""
-    ensure_embedding_models(session)
-    model = session.scalar(select(EbookEmbeddingModel).where(EbookEmbeddingModel.name == config.embedding_model))
-    if model is None:
-        supported_models = ", ".join(MODEL_DIMENSIONS)
-        msg = f"Unknown embedding model: {config.embedding_model}. Supported models: {supported_models}"
-        raise ValueError(msg)
-
-    table = get_embedding_table(model.dimension)
-    chunks = list(
-        session.scalars(
-            select(EbookChunk)
-            .outerjoin(table, (table.chunk_id == EbookChunk.id) & (table.model_id == model.id))
-            .where(table.id.is_(None))
-            .order_by(EbookChunk.id)
-            .limit(config.embedding_batch_size)
-        )
-    )
-    if not chunks:
-        logger.info("ebook_embed_missing_none model=%s", config.embedding_model)
-        return 0
-
-    logger.info("ebook_embed_missing_batch_start model=%s count=%s", config.embedding_model, len(chunks))
-    vectors = embed_texts([chunk.text for chunk in chunks], config)
-    rows = [
-        {"chunk_id": chunk.id, "model_id": model.id, "embedding": vector}
-        for chunk, vector in zip(chunks, vectors, strict=True)
-    ]
-    statement = insert(table).values(rows).on_conflict_do_nothing(index_elements=["chunk_id", "model_id"])
-    session.execute(statement)
-    session.flush()
-    logger.info("ebook_embed_missing_batch_complete model=%s count=%s", config.embedding_model, len(rows))
-    return len(rows)

python/ebook_search/epub_parse.py

@@ -1,95 +0,0 @@
-"""EPUB parsing helpers."""
-
-from __future__ import annotations
-
-import re
-from dataclasses import dataclass
-from typing import TYPE_CHECKING
-
-from bs4 import BeautifulSoup
-from ebooklib import ITEM_DOCUMENT, epub
-
-if TYPE_CHECKING:
-    from pathlib import Path
-
-WHITESPACE_RE = re.compile(r"\s+")
-
-
-@dataclass(frozen=True)
-class ParsedChapter:
-    """Text extracted from one EPUB spine document."""
-
-    title: str | None
-    href: str | None
-    text: str
-    page_labels: tuple[str, ...]
-
-
-@dataclass(frozen=True)
-class ParsedEpub:
-    """Parsed EPUB metadata and text."""
-
-    title: str
-    author: str | None
-    language: str | None
-    publisher: str | None
-    identifier: str | None
-    chapters: tuple[ParsedChapter, ...]
-
-
-def parse_epub(path: Path) -> ParsedEpub:
-    """Parse EPUB metadata and spine text."""
-    book = epub.read_epub(path)
-    chapters = []
-    for item in book.get_items_of_type(ITEM_DOCUMENT):
-        soup = BeautifulSoup(item.get_content(), "html.parser")
-        title = chapter_title(soup)
-        page_labels = tuple(extract_page_labels(soup))
-        text = clean_text(soup.get_text(" "))
-        if text:
-            chapters.append(ParsedChapter(title=title, href=item.get_name(), text=text, page_labels=page_labels))
-
-    return ParsedEpub(
-        title=metadata_value(book, "title") or path.stem,
-        author=metadata_value(book, "creator"),
-        language=metadata_value(book, "language"),
-        publisher=metadata_value(book, "publisher"),
-        identifier=metadata_value(book, "identifier"),
-        chapters=tuple(chapters),
-    )
-
-
-def metadata_value(book: epub.EpubBook, name: str) -> str | None:
-    """Return the first non-empty Dublin Core metadata value for a name."""
-    values = book.get_metadata("DC", name)
-    if not values:
-        return None
-    value = values[0][0]
-    return str(value).strip() or None
-
-
-def chapter_title(soup: BeautifulSoup) -> str | None:
-    """Extract the best available title from an EPUB document soup."""
-    heading = soup.find(["h1", "h2", "h3"])
-    if heading is None:
-        title = soup.find("title")
-        if title is None:
-            return None
-        return clean_text(title.get_text(" ")) or None
-    return clean_text(heading.get_text(" ")) or None
-
-
-def extract_page_labels(soup: BeautifulSoup) -> list[str]:
-    """Extract EPUB page-break labels from a document soup."""
-    labels: list[str] = []
-    for tag in soup.find_all(attrs={"epub:type": "pagebreak"}):
-        label = tag.get("title") or tag.get("aria-label") or tag.get_text(" ")
-        clean = clean_text(str(label))
-        if clean:
-            labels.append(clean)
-    return labels
-
-
-def clean_text(text: str) -> str:
-    """Normalize whitespace in extracted EPUB text."""
-    return WHITESPACE_RE.sub(" ", text).strip()

python/ebook_search/ingest.py

@@ -1,190 +0,0 @@
-"""EPUB ingestion into Richie DB."""
-
-from __future__ import annotations
-
-import hashlib
-import logging
-from dataclasses import dataclass
-from datetime import UTC, datetime
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import tiktoken
-from sqlalchemy import or_, select
-
-from python.ebook_search.epub_parse import parse_epub
-from python.orm.richie import EbookChapter, EbookChunk, EbookSource
-
-logger = logging.getLogger(__name__)
-DEFAULT_CHUNK_TOKENS = 700
-DEFAULT_CHUNK_OVERLAP = 100
-
-if TYPE_CHECKING:
-    from sqlalchemy.orm import Session
-
-    from python.ebook_search.config import EbookSearchConfig
-    from python.ebook_search.epub_parse import ParsedChapter
-
-
-@dataclass(frozen=True)
-class TextChunk:
-    """A token-bounded chunk of text."""
-
-    text: str
-    token_start: int
-    token_count: int
-
-
-def chunk_text(
-    text: str,
-    *,
-    chunk_tokens: int = DEFAULT_CHUNK_TOKENS,
-    overlap_tokens: int = DEFAULT_CHUNK_OVERLAP,
-) -> list[TextChunk]:
-    """Split text into overlapping token chunks."""
-    if chunk_tokens <= 0:
-        msg = "chunk_tokens must be positive"
-        raise ValueError(msg)
-    if overlap_tokens < 0 or overlap_tokens >= chunk_tokens:
-        msg = "overlap_tokens must be non-negative and smaller than chunk_tokens"
-        raise ValueError(msg)
-
-    encoding = tiktoken.get_encoding("cl100k_base")
-    tokens = encoding.encode(text)
-    if not tokens:
-        return []
-
-    chunks: list[TextChunk] = []
-    step = chunk_tokens - overlap_tokens
-    for start in range(0, len(tokens), step):
-        chunk = tokens[start : start + chunk_tokens]
-        if not chunk:
-            continue
-        chunks.append(
-            TextChunk(
-                text=encoding.decode(chunk).strip(),
-                token_start=start,
-                token_count=len(chunk),
-            )
-        )
-        if start + chunk_tokens >= len(tokens):
-            break
-    return [chunk for chunk in chunks if chunk.text]
-
-
-def ingest_configured_paths(session: Session, config: EbookSearchConfig) -> int:
-    """Ingest every EPUB found under configured library paths."""
-    count = 0
-    for library_path in config.library_paths:
-        path = Path(library_path).expanduser()
-        logger.info("ebook_ingest_path_start path=%s", path)
-        if path.is_file() and path.suffix.lower() == ".epub":
-            count += int(ingest_file(session, path))
-        elif path.is_dir():
-            for epub_path in sorted(path.rglob("*.epub")):
-                count += int(ingest_file(session, epub_path))
-        else:
-            logger.warning("ebook_ingest_path_missing path=%s", path)
-    logger.info("ebook_ingest_paths_complete changed_files=%s configured_paths=%s", count, len(config.library_paths))
-    return count
-
-
-def ingest_file(session: Session, path: Path) -> bool:
-    """Ingest one EPUB file. Return True when the database changed."""
-    resolved_path = path.expanduser().resolve()
-    logger.info("ebook_ingest_file_start path=%s", resolved_path)
-    file_hash = sha256_file(resolved_path)
-    existing = find_existing_source(session, resolved_path, file_hash)
-    if existing is not None and existing.file_sha256 == file_hash:
-        stat = resolved_path.stat()
-        existing.file_path = str(resolved_path)
-        existing.file_mtime = datetime.fromtimestamp(stat.st_mtime, tz=UTC)
-        existing.file_size = stat.st_size
-        session.flush()
-        logger.info("ebook_ingest_file_unchanged source_id=%s path=%s", existing.id, resolved_path)
-        return False
-    if existing is not None:
-        logger.info("ebook_ingest_file_replacing source_id=%s path=%s", existing.id, resolved_path)
-        session.delete(existing)
-        session.flush()
-
-    stat = resolved_path.stat()
-    parsed = parse_epub(resolved_path)
-    source = EbookSource(
-        title=parsed.title,
-        author=parsed.author,
-        language=parsed.language,
-        publisher=parsed.publisher,
-        identifier=parsed.identifier,
-        file_path=str(resolved_path),
-        file_sha256=file_hash,
-        file_mtime=datetime.fromtimestamp(stat.st_mtime, tz=UTC),
-        file_size=stat.st_size,
-    )
-    session.add(source)
-    session.flush()
-
-    chunk_index = 0
-    for spine_index, parsed_chapter in enumerate(parsed.chapters):
-        chapter = EbookChapter(
-            source_id=source.id,
-            spine_index=spine_index,
-            title=parsed_chapter.title,
-            href=parsed_chapter.href,
-        )
-        session.add(chapter)
-        session.flush()
-        chunk_index = add_chapter_chunks(session, source, chapter, parsed_chapter, chunk_index)
-
-    session.flush()
-    logger.info(
-        "ebook_ingest_file_complete source_id=%s path=%s chapters=%s chunks=%s",
-        source.id,
-        resolved_path,
-        len(parsed.chapters),
-        chunk_index,
-    )
-    return True
-
-
-def find_existing_source(session: Session, path: Path, file_hash: str) -> EbookSource | None:
-    """Find an existing source by canonical path or file hash."""
-    return session.scalar(
-        select(EbookSource).where(or_(EbookSource.file_path == str(path), EbookSource.file_sha256 == file_hash))
-    )
-
-
-def add_chapter_chunks(
-    session: Session,
-    source: EbookSource,
-    chapter: EbookChapter,
-    parsed_chapter: ParsedChapter,
-    chunk_index: int,
-) -> int:
-    """Add chunk rows for one parsed chapter and return the next chunk index."""
-    page_label = parsed_chapter.page_labels[0] if parsed_chapter.page_labels else None
-    for text_chunk in chunk_text(parsed_chapter.text):
-        session.add(
-            EbookChunk(
-                source_id=source.id,
-                chapter_id=chapter.id,
-                chunk_index=chunk_index,
-                text=text_chunk.text,
-                token_start=text_chunk.token_start,
-                token_count=text_chunk.token_count,
-                page_label=page_label,
-                content_sha256=hashlib.sha256(text_chunk.text.encode()).hexdigest(),
-                search_text=f"{source.title} {source.author or ''} {chapter.title or ''} {text_chunk.text}",
-            )
-        )
-        chunk_index += 1
-    return chunk_index
-
-
-def sha256_file(path: Path) -> str:
-    """Calculate the SHA-256 digest for a file."""
-    digest = hashlib.sha256()
-    with path.open("rb") as file:
-        for block in iter(lambda: file.read(1024 * 1024), b""):
-            digest.update(block)
-    return digest.hexdigest()

python/ebook_search/llm_interface.py

@@ -1,143 +0,0 @@
-"""LLM provider HTTP adapters."""
-
-from __future__ import annotations
-
-import logging
-from typing import TYPE_CHECKING
-
-import httpx
-
-if TYPE_CHECKING:
-    from collections.abc import Sequence
-
-    from python.ebook_search.config import EbookSearchConfig, RerankConfig
-
-logger = logging.getLogger(__name__)
-
-
-def auth_headers(api_key: str) -> dict[str, str]:
-    """Build authorization headers when an API key is configured."""
-    if api_key == "not-needed":
-        return {}
-    return {"Authorization": f"Bearer {api_key}"}
-
-
-def request_embeddings(texts: Sequence[str], config: EbookSearchConfig) -> list[list[float]]:
-    """Request embeddings from the configured OpenAI-compatible endpoint."""
-    try:
-        response = httpx.post(
-            f"{config.embedding_base_url.rstrip('/')}/embeddings",
-            headers=auth_headers(config.embedding_api_key),
-            json={"model": config.embedding_model, "input": list(texts)},
-            timeout=60,
-        )
-        response.raise_for_status()
-        return embedding_vectors_from_response(response.json())
-    except (httpx.HTTPError, ValueError, KeyError, TypeError) as error:
-        logger.exception(
-            "ebook_embed_request_failed base_url=%s model=%s count=%s",
-            config.embedding_base_url,
-            config.embedding_model,
-            len(texts),
-        )
-        msg = f"Embedding request failed. base_url={config.embedding_base_url} model={config.embedding_model}"
-        raise RuntimeError(msg) from error
-
-
-def embedding_vectors_from_response(body: object) -> list[list[float]]:
-    """Extract embedding vectors from an OpenAI-compatible embedding response."""
-    if not isinstance(body, dict):
-        msg = "Embedding response is not an object"
-        raise TypeError(msg)
-
-    data = body["data"]
-    if not isinstance(data, list):
-        msg = "Embedding response data is not a list"
-        raise TypeError(msg)
-
-    vectors: list[list[float]] = []
-    for item in data:
-        if not isinstance(item, dict):
-            msg = "Embedding item is not an object"
-            raise TypeError(msg)
-        embedding = item["embedding"]
-        if not isinstance(embedding, list):
-            msg = "Embedding value is not a list"
-            raise TypeError(msg)
-        vectors.append([float(value) for value in embedding])
-    return vectors
-
-
-def request_rerank(
-    query: str,
-    documents: Sequence[str],
-    config: RerankConfig,
-) -> object | None:
-    """Request rerank scores from the configured vLLM endpoint."""
-    payload = {
-        "model": config.model,
-        "query": query,
-        "documents": list(documents),
-    }
-    response = httpx.post(
-        f"{config.base_url.rstrip('/')}/rerank",
-        json=payload,
-        timeout=config.timeout_seconds,
-    )
-    response.raise_for_status()
-    try:
-        return response.json()
-    except ValueError:
-        logger.debug("ebook_rerank_response_invalid_json", extra={"response": response.text})
-        return None
-
-
-def request_chat_completion(
-    config: EbookSearchConfig,
-    messages: Sequence[dict[str, str]],
-) -> str:
-    """Request a chat completion from the configured OpenAI-compatible endpoint."""
-    try:
-        response = httpx.post(
-            f"{config.vllm_base_url.rstrip('/')}/chat/completions",
-            headers=auth_headers(config.vllm_api_key),
-            json={
-                "model": config.chat_model,
-                "messages": list(messages),
-                "temperature": 0,
-            },
-            timeout=60,
-        )
-        response.raise_for_status()
-        return chat_content_from_response(response.json())
-    except (httpx.HTTPError, ValueError, KeyError, TypeError) as error:
-        msg = f"Chat request failed. base_url={config.vllm_base_url} model={config.chat_model}"
-        raise RuntimeError(msg) from error
-
-
-def chat_content_from_response(body: object) -> str:
-    """Extract text content from an OpenAI-compatible chat response."""
-    if not isinstance(body, dict):
-        msg = "Chat response is not an object"
-        raise TypeError(msg)
-
-    choices = body["choices"]
-    if not isinstance(choices, list) or not choices:
-        msg = "Chat response has no choices"
-        raise ValueError(msg)
-
-    first = choices[0]
-    if not isinstance(first, dict):
-        msg = "Chat choice is not an object"
-        raise TypeError(msg)
-
-    message = first["message"]
-    if not isinstance(message, dict):
-        msg = "Chat message is not an object"
-        raise TypeError(msg)
-
-    content = message.get("content") or ""
-    if not isinstance(content, str):
-        msg = "Chat content is not text"
-        raise TypeError(msg)
-    return content

python/ebook_search/rerank.py

@@ -1,129 +0,0 @@
-"""vLLM-backed optional reranking."""
-
-from __future__ import annotations
-
-import logging
-from dataclasses import dataclass, replace
-from typing import TYPE_CHECKING
-
-from python.ebook_search.llm_interface import request_rerank
-
-if TYPE_CHECKING:
-    from python.ebook_search.config import RerankConfig
-    from python.ebook_search.search import SearchResult
-
-logger = logging.getLogger(__name__)
-RERANK_SCORE_WEIGHT = 0.7
-HYBRID_SCORE_WEIGHT = 0.3
-
-
-@dataclass(frozen=True)
-class RerankResult:
-    """A relevance score for one candidate chunk."""
-
-    chunk_id: int
-    score: float
-
-
-def rerank_chunks(query: str, candidates: list[SearchResult], config: RerankConfig) -> list[SearchResult]:
-    """Rerank candidates with a vLLM rerank endpoint."""
-    if not candidates:
-        return []
-
-    logger.info(
-        "ebook_rerank_request_start base_url=%s model=%s candidates=%s",
-        config.base_url,
-        config.model,
-        len(candidates),
-    )
-    scores = score_candidates(query, candidates, config)
-    results = sorted(
-        (
-            replace(
-                result,
-                score=final_rerank_score(result, scores[result.chunk_id].score, candidates),
-                rerank_score=scores[result.chunk_id].score,
-            )
-            for result in candidates
-        ),
-        key=lambda result: result.score,
-        reverse=True,
-    )
-    logger.info(
-        "ebook_rerank_request_complete base_url=%s model=%s candidates=%s",
-        config.base_url,
-        config.model,
-        len(results),
-    )
-    return results
-
-
-def score_candidates(
-    query: str,
-    candidates: list[SearchResult],
-    config: RerankConfig,
-) -> dict[int, RerankResult]:
-    """Score candidate chunks with the configured rerank API."""
-    body = request_rerank(query, [candidate.text for candidate in candidates], config)
-    if body is None:
-        return zero_rerank_scores(candidates)
-
-    scores = parse_vllm_scores(body, candidates)
-    for result in scores.values():
-        logger.debug("ebook_rerank_candidate_scored chunk_id=%s score=%s", result.chunk_id, result.score)
-    return scores
-
-
-def parse_vllm_scores(body: object, candidates: list[SearchResult]) -> dict[int, RerankResult]:
-    """Parse vLLM rerank scores into chunk-id keyed results."""
-    if not isinstance(body, dict):
-        logger.debug("ebook_rerank_response_not_object", extra={"response": body})
-        return zero_rerank_scores(candidates)
-
-    results = body.get("results") or body.get("data")
-    if not isinstance(results, list):
-        logger.debug("ebook_rerank_response_missing_results", extra={"response": body})
-        return zero_rerank_scores(candidates)
-
-    scores = zero_rerank_scores(candidates)
-    for item in results:
-        if not isinstance(item, dict):
-            continue
-        index = item.get("index")
-        score = item.get("relevance_score", item.get("score"))
-        if not isinstance(index, int) or index < 0 or index >= len(candidates):
-            continue
-        if not isinstance(score, int | float):
-            continue
-        chunk_id = candidates[index].chunk_id
-        scores[chunk_id] = RerankResult(chunk_id=chunk_id, score=clamp_score(float(score)))
-    return scores
-
-
-def zero_rerank_scores(candidates: list[SearchResult]) -> dict[int, RerankResult]:
-    """Return zero relevance scores for all candidate chunks."""
-    return {candidate.chunk_id: RerankResult(chunk_id=candidate.chunk_id, score=0.0) for candidate in candidates}
-
-
-def clamp_score(score: float) -> float:
-    """Clamp a rerank score into the supported 0.0 to 1.0 range."""
-    return min(max(score, 0.0), 1.0)
-
-
-def final_rerank_score(result: SearchResult, rerank_score: float, candidates: list[SearchResult]) -> float:
-    """Combine rerank relevance with normalized hybrid retrieval evidence."""
-    return (RERANK_SCORE_WEIGHT * rerank_score) + (HYBRID_SCORE_WEIGHT * normalized_hybrid_score(result, candidates))
-
-
-def normalized_hybrid_score(result: SearchResult, candidates: list[SearchResult]) -> float:
-    """Normalize a candidate hybrid score against the rerank candidate set."""
-    hybrid_scores = [
-        candidate.fused_score if candidate.fused_score is not None else candidate.score for candidate in candidates
-    ]
-    low = min(hybrid_scores)
-    high = max(hybrid_scores)
-    if high == low:
-        return 1.0
-
-    score = result.fused_score if result.fused_score is not None else result.score
-    return (score - low) / (high - low)

python/ebook_search/search.py

@@ -1,383 +0,0 @@
-"""Hybrid search orchestration."""
-
-from __future__ import annotations
-
-import logging
-import re
-from concurrent.futures import ThreadPoolExecutor
-from dataclasses import dataclass, replace
-from typing import TYPE_CHECKING
-
-from pgvector.sqlalchemy import Vector
-from sqlalchemy import literal, select
-from sqlalchemy.orm import Session
-
-from python.ebook_search.bm25_corpus import (
-    BM25CorpusUnavailableError,
-    load_bm25_corpus,
-    score_bm25_corpus,
-)
-from python.ebook_search.embeddings import MODEL_DIMENSIONS, embed_query, get_embedding_table
-from python.ebook_search.rerank import rerank_chunks
-from python.ebook_search.timing import RuntimeStep, timed_result
-from python.orm.richie import (
-    EbookChapter,
-    EbookChunk,
-    EbookEmbeddingModel,
-    EbookSource,
-)
-
-if TYPE_CHECKING:
-    from collections.abc import Mapping
-
-    from sqlalchemy.engine import Engine
-
-    from python.ebook_search.config import EbookSearchConfig
-
-logger = logging.getLogger(__name__)
-BM25_CANDIDATE_LIMIT = 120
-
-
-@dataclass(frozen=True)
-class SearchResult:
-    """One source chunk returned by search."""
-
-    chunk_id: int
-    text: str
-    source_title: str
-    score: float = 0.0
-    vector_score: float | None = None
-    bm25_score: float | None = None
-    fused_score: float | None = None
-    rerank_score: float | None = None
-    source_author: str | None = None
-    chapter_title: str | None = None
-    page_label: str | None = None
-    rank_source: str = "Hybrid"
-
-
-@dataclass(frozen=True)
-class SearchResponse:
-    """Search output for the UI."""
-
-    query: str
-    results: list[SearchResult]
-    rank_label: str
-    timings: tuple[RuntimeStep, ...] = ()
-
-    @property
-    def total_runtime_ms(self) -> float:
-        """Return total measured runtime for the response."""
-        return sum(step.duration_ms for step in self.timings if step.counts_toward_total)
-
-
-@dataclass(frozen=True)
-class RetrievalResponse:
-    """Parallel retrieval output for vector and BM25 candidates."""
-
-    vector_results: list[SearchResult]
-    lexical_results: list[SearchResult]
-    timings: tuple[RuntimeStep, ...]
-
-
-def search_ebooks(
-    engine: Engine,
-    query: str,
-    config: EbookSearchConfig,
-    *,
-    rerank: bool = False,
-) -> SearchResponse:
-    """Run hybrid vector/BM25 search and optional reranking."""
-    if not query.strip():
-        logger.info("ebook_search_empty_query")
-        return SearchResponse(query=query, results=[], rank_label="Hybrid")
-
-    logger.info("ebook_search_start query_length=%s rerank=%s", len(query), rerank)
-    timings: list[RuntimeStep] = []
-    bm25_query, timing = timed_result("BM25 query preparation", retrieval_query_from_text, query)
-    timings.append(timing)
-    retrieval, timing = timed_result(
-        "Hybrid retrieval",
-        parallel_retrieval,
-        engine,
-        query,
-        bm25_query,
-        config,
-    )
-    timings.extend(retrieval.timings)
-    timings.append(timing)
-    fused, timing = timed_result(
-        "Reciprocal rank fusion",
-        reciprocal_rank_fusion,
-        retrieval.vector_results,
-        retrieval.lexical_results,
-    )
-    timings.append(timing)
-    if config.rerank.enabled and rerank:
-        response, timing = timed_result("Rerank", apply_rerank, query, fused, config)
-    else:
-        response, timing = timed_result("Rerank skipped", skip_rerank, query, fused, config)
-    timings.append(timing)
-    response = replace(response, timings=tuple(timings))
-    logger.info(
-        "ebook_search_complete vector_candidates=%s lexical_candidates=%s "
-        "fused_candidates=%s returned=%s rank_label=%s runtime_ms=%.1f",
-        len(retrieval.vector_results),
-        len(retrieval.lexical_results),
-        len(fused),
-        len(response.results),
-        response.rank_label,
-        response.total_runtime_ms,
-    )
-    return response
-
-
-def parallel_retrieval(
-    engine: Engine,
-    vector_query: str,
-    bm25_query: str,
-    config: EbookSearchConfig,
-) -> RetrievalResponse:
-    """Run vector and BM25 candidate retrieval concurrently with separate database sessions."""
-    with ThreadPoolExecutor(max_workers=2, thread_name_prefix="ebook-search") as executor:
-        vector_future = executor.submit(
-            timed_result,
-            "Embedding + vector search",
-            vector_candidates,
-            engine,
-            vector_query,
-            config,
-        )
-        bm25_future = executor.submit(
-            timed_result,
-            "BM25 search",
-            bm25_candidates,
-            bm25_query,
-            config,
-        )
-        vector_results, vector_timing = vector_future.result()
-        lexical_results, lexical_timing = bm25_future.result()
-
-    logger.info(
-        "ebook_parallel_retrieval_complete vector_candidates=%s lexical_candidates=%s",
-        len(vector_results),
-        len(lexical_results),
-    )
-    return RetrievalResponse(
-        vector_results=vector_results,
-        lexical_results=lexical_results,
-        timings=(
-            replace(vector_timing, counts_toward_total=False),
-            replace(lexical_timing, counts_toward_total=False),
-        ),
-    )
-
-
-def skip_rerank(
-    query: str,
-    candidates: list[SearchResult],
-    config: EbookSearchConfig,
-) -> SearchResponse:
-    """Return fused hybrid results without reranking."""
-    logger.info("ebook_rerank_skipped candidates=%s", len(candidates))
-    return SearchResponse(query=query, results=candidates[: config.top_k], rank_label="Hybrid")
-
-
-def apply_rerank(
-    query: str,
-    candidates: list[SearchResult],
-    config: EbookSearchConfig,
-) -> SearchResponse:
-    """Rerank already-fused hybrid candidates."""
-    reranked = rerank_chunks(query, candidates[: config.rerank.candidates], config.rerank)
-    logger.info(
-        "ebook_rerank_complete input_candidates=%s returned=%s",
-        min(len(candidates), config.rerank.candidates),
-        len(reranked),
-    )
-    return SearchResponse(
-        query=query,
-        results=[replace(result, rank_source="Hybrid + rerank") for result in reranked[: config.top_k]],
-        rank_label="Hybrid + rerank",
-    )
-
-
-def vector_candidates(engine: Engine, query: str, config: EbookSearchConfig) -> list[SearchResult]:
-    """Return pgvector cosine candidates for a natural-language query."""
-    with Session(engine) as session:
-        model = session.scalar(select(EbookEmbeddingModel).where(EbookEmbeddingModel.name == config.embedding_model))
-        if model is None:
-            msg = f"Embedding model is not registered: {config.embedding_model}"
-            raise ValueError(msg)
-
-        expected_dimension = MODEL_DIMENSIONS[config.embedding_model]
-        if model.dimension != expected_dimension:
-            msg = f"Model row dimension {model.dimension} does not match configured dimension {expected_dimension}"
-            raise ValueError(msg)
-
-        embedding = embed_query(query, config)
-        limit = max(config.rerank.candidates, config.top_k) * 4
-        embedding_table = get_embedding_table(model.dimension)
-
-        embedding_param = literal(embedding, type_=Vector(model.dimension))
-        distance = embedding_table.embedding.op("<=>")(embedding_param)
-        score = (literal(1.0) - distance).label("score")
-        statement = (
-            select(
-                EbookChunk.id.label("chunk_id"),
-                EbookChunk.text.label("text"),
-                EbookSource.title.label("source_title"),
-                EbookSource.author.label("source_author"),
-                EbookChapter.title.label("chapter_title"),
-                EbookChunk.page_label.label("page_label"),
-                score,
-            )
-            .select_from(embedding_table)
-            .join(EbookChunk, EbookChunk.id == embedding_table.chunk_id)
-            .join(EbookSource, EbookSource.id == EbookChunk.source_id)
-            .outerjoin(EbookChapter, EbookChapter.id == EbookChunk.chapter_id)
-            .where(embedding_table.model_id == model.id)
-            .order_by(distance)
-            .limit(limit)
-        )
-        rows = session.execute(statement).mappings()
-        results = [search_result_from_row(row) for row in rows]
-        logger.info(
-            "ebook_vector_search_complete model=%s dimension=%s candidates=%s",
-            config.embedding_model,
-            model.dimension,
-            len(results),
-        )
-        return results
-
-
-def bm25_candidates(query: str, config: EbookSearchConfig) -> list[SearchResult]:
-    """Return BM25-ranked lexical candidates using the persisted corpus."""
-    try:
-        corpus = load_bm25_corpus(config)
-    except BM25CorpusUnavailableError as error:
-        logger.warning("ebook_bm25_index_unavailable_skipping error=%s", error)
-        return []
-
-    if not corpus.records:
-        logger.info("ebook_bm25_search_complete corpus=0 candidates=0")
-        return []
-
-    scored_records = score_bm25_corpus(query, corpus, limit=BM25_CANDIDATE_LIMIT)
-    results = [
-        replace(search_result_from_row(record), score=score, vector_score=None, bm25_score=score)
-        for record, score in scored_records
-    ]
-
-    max_score = results[0].bm25_score if results else 0.0
-    logger.info(
-        "ebook_bm25_search_complete corpus=%s candidates=%s max_score=%.6f",
-        len(corpus.records),
-        len(results),
-        max_score,
-    )
-    return results
-
-
-def reciprocal_rank_fusion(
-    vector_results: list[SearchResult],
-    lexical_results: list[SearchResult],
-    *,
-    rank_constant: int = 60,
-) -> list[SearchResult]:
-    """Fuse vector and lexical rankings with Reciprocal Rank Fusion."""
-    by_chunk: dict[int, SearchResult] = {}
-    scores: dict[int, float] = {}
-    vector_scores: dict[int, float] = {}
-    bm25_scores: dict[int, float] = {}
-
-    for rank, result in enumerate(vector_results, start=1):
-        by_chunk.setdefault(result.chunk_id, result)
-        vector_scores[result.chunk_id] = result.vector_score if result.vector_score is not None else result.score
-        scores[result.chunk_id] = scores.get(result.chunk_id, 0.0) + (1 / (rank_constant + rank))
-
-    for rank, result in enumerate(lexical_results, start=1):
-        by_chunk.setdefault(result.chunk_id, result)
-        bm25_scores[result.chunk_id] = result.bm25_score if result.bm25_score is not None else result.score
-        scores[result.chunk_id] = scores.get(result.chunk_id, 0.0) + (1 / (rank_constant + rank))
-
-    return sorted(
-        (
-            replace(
-                result,
-                score=scores[result.chunk_id],
-                vector_score=vector_scores.get(result.chunk_id),
-                bm25_score=bm25_scores.get(result.chunk_id),
-                fused_score=scores[result.chunk_id],
-                rank_source="Hybrid",
-            )
-            for result in by_chunk.values()
-        ),
-        key=lambda result: result.score,
-        reverse=True,
-    )
-
-
-def search_result_from_row(row: Mapping[str, object]) -> SearchResult:
-    """Convert a database row mapping into a search result."""
-    return SearchResult(
-        chunk_id=int(row["chunk_id"]),
-        text=str(row["text"]),
-        source_title=str(row["source_title"]),
-        source_author=optional_str(row["source_author"]),
-        chapter_title=optional_str(row["chapter_title"]),
-        page_label=optional_str(row["page_label"]),
-        score=float(row["score"]) if "score" in row else 0.0,
-        vector_score=float(row["score"]) if "score" in row else None,
-    )
-
-
-def optional_str(value: object) -> str | None:
-    """Convert nullable database values to optional strings."""
-    if value is None:
-        return None
-    return str(value)
-
-
-TOKEN_RE = re.compile(r"[A-Za-z0-9_]+")
-
-
-def tokens(text_value: str) -> list[str]:
-    """Extract tokens from a text value.
-
-    This is a simple approximation of the tokenization used by PostgreSQL's full-text search,
-    which is sufficient for BM25 candidate retrieval. It lowercases tokens and includes alphanumeric characters and
-    underscores.
-    """
-    return [match.group(0).lower() for match in TOKEN_RE.finditer(text_value)]
-
-
-QUERY_STOP_WORDS = {
-    "a",
-    "an",
-    "and",
-    "are",
-    "as",
-    "at",
-    "does",
-    "for",
-    "in",
-    "is",
-    "of",
-    "the",
-    "to",
-    "what",
-    "when",
-    "where",
-    "which",
-    "who",
-    "why",
-}
-
-
-def retrieval_query_from_text(query: str) -> str:
-    """Remove generic question words while preserving entity and series terms."""
-    keywords = [token for token in tokens(query) if token not in QUERY_STOP_WORDS]
-    if not keywords:
-        return query
-    return " ".join(keywords)

python/ebook_search/timing.py

@@ -1,36 +0,0 @@
-"""Runtime timing helpers for EPUB search."""
-
-from __future__ import annotations
-
-from dataclasses import dataclass
-from time import perf_counter
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from collections.abc import Callable
-
-
-@dataclass(frozen=True)
-class RuntimeStep:
-    """Elapsed runtime for one named search step."""
-
-    name: str
-    duration_ms: float
-    counts_toward_total: bool = True
-
-
-def runtime_step_from_start(name: str, start_seconds: float) -> RuntimeStep:
-    """Create a runtime step from a prior perf_counter timestamp."""
-    return RuntimeStep(name=name, duration_ms=(perf_counter() - start_seconds) * 1000)
-
-
-def timed_result[T, **P](
-    name: str,
-    operation: Callable[P, T],
-    *args: P.args,
-    **kwargs: P.kwargs,
-) -> tuple[T, RuntimeStep]:
-    """Run an operation and return its result plus elapsed runtime."""
-    start_seconds = perf_counter()
-    result = operation(*args, **kwargs)
-    return result, runtime_step_from_start(name, start_seconds)

python/eval_warnings/__init__.py

@@ -1 +0,0 @@
-"""Detect Nix evaluation warnings from build logs and create PRs with LLM-suggested fixes."""

python/eval_warnings/main.py

@@ -1,449 +0,0 @@
-"""Detect Nix evaluation warnings and create PRs with LLM-suggested fixes."""
-
-from __future__ import annotations
-
-import hashlib
-import logging
-import re
-import subprocess
-from dataclasses import dataclass
-from io import BytesIO
-from pathlib import Path
-from typing import Annotated
-from zipfile import ZipFile
-
-import typer
-from httpx import HTTPError, post
-
-from python.common import configure_logger
-
-logger = logging.getLogger(__name__)
-
-
-@dataclass(frozen=True)
-class EvalWarning:
-    """A single Nix evaluation warning."""
-
-    system: str
-    message: str
-
-
-@dataclass
-class FileChange:
-    """A file change suggested by the LLM."""
-
-    file_path: str
-    original: str
-    fixed: str
-
-
-def run_cmd(cmd: list[str], *, check: bool = True) -> subprocess.CompletedProcess[str]:
-    """Run a subprocess command and return the result.
-
-    Args:
-        cmd: Command and arguments.
-        check: Whether to raise on non-zero exit.
-
-    Returns:
-        CompletedProcess with captured stdout/stderr.
-    """
-    logger.debug("Running: %s", " ".join(cmd))
-    return subprocess.run(cmd, capture_output=True, text=True, check=check)
-
-
-def download_logs(run_id: str, repo: str) -> dict[str, str]:
-    """Download build logs for a GitHub Actions run.
-
-    Args:
-        run_id: The workflow run ID.
-        repo: The GitHub repository (owner/repo).
-
-    Returns:
-        Dict mapping zip entry names to their text content, filtered to build log files.
-
-    Raises:
-        RuntimeError: If log download fails.
-    """
-    result = subprocess.run(
-        ["gh", "api", f"repos/{repo}/actions/runs/{run_id}/logs"],
-        capture_output=True,
-        check=False,
-    )
-    if result.returncode != 0:
-        msg = f"Failed to download logs: {result.stderr.decode(errors='replace')}"
-        raise RuntimeError(msg)
-
-    logs: dict[str, str] = {}
-    with ZipFile(BytesIO(result.stdout)) as zip_file:
-        for name in zip_file.namelist():
-            if name.startswith("build-") and name.endswith(".txt"):
-                logs[name] = zip_file.read(name).decode(errors="replace")
-
-    return logs
-
-
-def parse_warnings(logs: dict[str, str]) -> set[EvalWarning]:
-    """Parse Nix evaluation warnings from build log contents.
-
-    Args:
-        logs: Dict mapping zip entry names (e.g. "build-bob/2_Build.txt") to their text.
-
-    Returns:
-        Deduplicated set of warnings.
-    """
-    warnings: set[EvalWarning] = set()
-    warning_pattern = re.compile(r"(?:^[\d\-T:.Z]+ )?(warning:|trace: warning:)")
-    timestamp_prefix = re.compile(r"^[\d\-T:.Z]+ ")
-
-    for name, content in sorted(logs.items()):
-        system = name.split("/")[0].removeprefix("build-")
-        for line in content.splitlines():
-            if warning_pattern.search(line):
-                message = timestamp_prefix.sub("", line).strip()
-                if message.startswith("warning: ignoring untrusted flake configuration setting"):
-                    continue
-                logger.debug(f"Found warning: {line}")
-                warnings.add(EvalWarning(system=system, message=message))
-
-    logger.info("Found %d unique warnings", len(warnings))
-    return warnings
-
-
-def extract_referenced_files(warnings: set[EvalWarning]) -> dict[str, str]:
-    """Extract file paths referenced in warnings and read their contents.
-
-    Args:
-        warnings: List of parsed warnings.
-
-    Returns:
-        Dict mapping repo-relative file paths to their contents.
-    """
-    paths: set[str] = set()
-    warning_text = "\n".join(w.message for w in warnings)
-
-    nix_store_path = re.compile(r"/nix/store/[^/]+-source/([^:]+\.nix)")
-    for match in nix_store_path.finditer(warning_text):
-        paths.add(match.group(1))
-
-    repo_relative_path = re.compile(r"(?<![/\w])(systems|common|users|overlays)/[^:\s]+\.nix")
-    for match in repo_relative_path.finditer(warning_text):
-        paths.add(match.group(0))
-
-    files: dict[str, str] = {}
-    for path_str in sorted(paths):
-        path = Path(path_str)
-        if path.is_file():
-            files[path_str] = path.read_text()
-
-    if not files and Path("flake.nix").is_file():
-        files["flake.nix"] = Path("flake.nix").read_text()
-
-    logger.info("Extracted %d referenced files", len(files))
-    return files
-
-
-def compute_warning_hash(warnings: set[EvalWarning]) -> str:
-    """Compute a short hash of the warning set for deduplication.
-
-    Args:
-        warnings: List of warnings.
-
-    Returns:
-        8-character hex hash.
-    """
-    text = "\n".join(sorted(f"[{w.system}] {w.message}" for w in warnings))
-    return hashlib.sha256(text.encode()).hexdigest()[:8]
-
-
-def check_duplicate_pr(warning_hash: str) -> bool:
-    """Check if an open PR already exists for this warning hash.
-
-    Args:
-        warning_hash: The hash to check.
-
-    Returns:
-        True if a duplicate PR exists.
-
-    Raises:
-        RuntimeError: If the gh CLI call fails.
-    """
-    result = run_cmd(
-        [
-            "gh",
-            "pr",
-            "list",
-            "--state",
-            "open",
-            "--label",
-            "eval-warning-fix",
-            "--json",
-            "title",
-            "--jq",
-            ".[].title",
-        ],
-        check=False,
-    )
-    if result.returncode != 0:
-        msg = f"Failed to check for duplicate PRs: {result.stderr}"
-        raise RuntimeError(msg)
-
-    for title in result.stdout.splitlines():
-        if warning_hash in title:
-            logger.info("Duplicate PR found for hash %s", warning_hash)
-            return True
-    return False
-
-
-def query_ollama(
-    warnings: set[EvalWarning],
-    files: dict[str, str],
-    ollama_url: str,
-) -> str | None:
-    """Query Ollama for a fix suggestion.
-
-    Args:
-        warnings: List of warnings.
-        files: Referenced file contents.
-        ollama_url: Ollama API base URL.
-
-    Returns:
-        LLM response text, or None on failure.
-    """
-    warning_text = "\n".join(f"[{w.system}] {w.message}" for w in warnings)
-    file_context = "\n".join(f"--- FILE: {path} ---\n{content}\n--- END FILE ---" for path, content in files.items())
-
-    prompt = f"""You are a NixOS configuration expert. \
-Analyze the following Nix evaluation warnings and suggest fixes.
-
-## Warnings
-{warning_text}
-
-## Referenced Files
-{file_context}
-
-## Instructions
-- Identify the root cause of each warning
-- Provide the exact file changes needed to fix the warnings
-- Output your response in two clearly separated sections:
-  1. **REASONING**: Brief explanation of what causes each warning and how to fix it
-  2. **CHANGES**: For each file that needs changes, output a block like:
-     FILE: path/to/file.nix
-     <<<<<<< ORIGINAL
-     the original lines to replace
-     =======
-     the replacement lines
-     >>>>>>> FIXED
-- Only suggest changes for files that exist in the repository
-- Do not add unnecessary complexity
-- Preserve the existing code style
-- If a warning comes from upstream nixpkgs and cannot be fixed in this repo, \
-say so in REASONING and do not suggest changes"""
-
-    try:
-        response = post(
-            f"{ollama_url}/api/generate",
-            json={
-                "model": "qwen3-coder:30b",
-                "prompt": prompt,
-                "stream": False,
-                "options": {"num_predict": 4096},
-            },
-            timeout=300,
-        )
-        response.raise_for_status()
-    except HTTPError:
-        logger.exception("Ollama request failed")
-        return None
-
-    return response.json().get("response")
-
-
-def parse_changes(response: str) -> list[FileChange]:
-    """Parse file changes from the **CHANGES** section of the LLM response.
-
-    Expects blocks in the format:
-        FILE: path/to/file.nix
-        <<<<<<< ORIGINAL
-        ...
-        =======
-        ...
-        >>>>>>> FIXED
-
-    Args:
-        response: Raw LLM response text.
-
-    Returns:
-        List of parsed file changes.
-    """
-    if "**CHANGES**" not in response:
-        logger.warning("LLM response missing **CHANGES** section")
-        return []
-
-    changes_section = response.split("**CHANGES**", 1)[1]
-
-    changes: list[FileChange] = []
-    current_file = ""
-    section: str | None = None
-    original_lines: list[str] = []
-    fixed_lines: list[str] = []
-
-    for line in changes_section.splitlines():
-        stripped = line.strip()
-        if stripped.startswith("FILE:"):
-            current_file = stripped.removeprefix("FILE:").strip()
-        elif stripped == "<<<<<<< ORIGINAL":
-            section = "original"
-            original_lines = []
-        elif stripped == "=======" and section == "original":
-            section = "fixed"
-            fixed_lines = []
-        elif stripped == ">>>>>>> FIXED" and section == "fixed":
-            section = None
-            if current_file:
-                changes.append(FileChange(current_file, "\n".join(original_lines), "\n".join(fixed_lines)))
-        elif section == "original":
-            original_lines.append(line)
-        elif section == "fixed":
-            fixed_lines.append(line)
-
-    logger.info("Parsed %d file changes", len(changes))
-    return changes
-
-
-def apply_changes(changes: list[FileChange]) -> int:
-    """Apply file changes to the working directory.
-
-    Args:
-        changes: List of changes to apply.
-
-    Returns:
-        Number of changes successfully applied.
-    """
-    applied = 0
-    cwd = Path.cwd().resolve()
-    for change in changes:
-        path = Path(change.file_path).resolve()
-        if not path.is_relative_to(cwd):
-            logger.warning("Path traversal blocked: %s", change.file_path)
-            continue
-        if not path.is_file():
-            logger.warning("File not found: %s", change.file_path)
-            continue
-
-        content = path.read_text()
-        if change.original not in content:
-            logger.warning("Original text not found in %s", change.file_path)
-            continue
-
-        path.write_text(content.replace(change.original, change.fixed, 1))
-        logger.info("Applied fix to %s", change.file_path)
-        applied += 1
-
-    return applied
-
-
-def create_pr(
-    warning_hash: str,
-    warnings: set[EvalWarning],
-    llm_response: str,
-    run_url: str,
-) -> None:
-    """Create a git branch and PR with the applied fixes.
-
-    Args:
-        warning_hash: Short hash for branch naming and deduplication.
-        warnings: Original warnings for the PR body.
-        llm_response: Full LLM response for extracting reasoning.
-        run_url: URL to the triggering build run.
-    """
-    branch = f"fix/eval-warning-{warning_hash}"
-    warning_text = "\n".join(f"[{w.system}] {w.message}" for w in warnings)
-
-    if "**REASONING**" not in llm_response:
-        logger.warning("LLM response missing **REASONING** section")
-        reasoning = ""
-    else:
-        _, after = llm_response.split("**REASONING**", 1)
-        reasoning = "\n".join(after.split("**CHANGES**", 1)[0].strip().splitlines()[:50])
-
-    run_cmd(["git", "config", "user.name", "github-actions[bot]"])
-    run_cmd(["git", "config", "user.email", "github-actions[bot]@users.noreply.github.com"])
-    run_cmd(["git", "checkout", "-b", branch])
-    run_cmd(["git", "add", "-A"])
-
-    diff_result = run_cmd(["git", "diff", "--cached", "--quiet"], check=False)
-    if diff_result.returncode == 0:
-        logger.info("No file changes to commit")
-        return
-
-    run_cmd(["git", "commit", "-m", f"fix: resolve nix evaluation warnings ({warning_hash})"])
-    run_cmd(["git", "push", "origin", branch, "--force"])
-
-    body = f"""## Nix Evaluation Warnings
-
-Detected in [build_systems run]({run_url}):
-
-```
-{warning_text}
-```
-
-## LLM Analysis (qwen3-coder:30b)
-
-{reasoning}
-
----
-*Auto-generated by fix_eval_warnings. Review carefully before merging.*"""
-
-    run_cmd(
-        [
-            "gh",
-            "pr",
-            "create",
-            "--title",
-            f"fix: resolve nix eval warnings ({warning_hash})",
-            "--label",
-            "automated",
-            "--label",
-            "eval-warning-fix",
-            "--body",
-            body,
-        ]
-    )
-    logger.info("PR created on branch %s", branch)
-
-
-def main(
-    run_id: Annotated[str, typer.Option("--run-id", help="GitHub Actions run ID")],
-    repo: Annotated[str, typer.Option("--repo", help="GitHub repository (owner/repo)")],
-    ollama_url: Annotated[str, typer.Option("--ollama-url", help="Ollama API base URL")],
-    run_url: Annotated[str, typer.Option("--run-url", help="URL to the triggering build run")],
-    log_level: Annotated[str, typer.Option("--log-level", "-l", help="Log level")] = "INFO",
-) -> None:
-    """Detect Nix evaluation warnings and create PRs with LLM-suggested fixes."""
-    configure_logger(log_level)
-
-    logs = download_logs(run_id, repo)
-    warnings = parse_warnings(logs)
-    if not warnings:
-        return
-
-    warning_hash = compute_warning_hash(warnings)
-    if check_duplicate_pr(warning_hash):
-        return
-
-    files = extract_referenced_files(warnings)
-    llm_response = query_ollama(warnings, files, ollama_url)
-    if not llm_response:
-        return
-
-    changes = parse_changes(llm_response)
-    applied = apply_changes(changes)
-    if applied == 0:
-        logger.info("No changes could be applied")
-        return
-
-    create_pr(warning_hash, warnings, llm_response, run_url)
-
-
-if __name__ == "__main__":
-    typer.run(main)

python/fastapi_tools/__init__.py

@@ -1,6 +0,0 @@
-"""Reusable FastAPI tools."""
-
-from python.fastapi_tools.db import DbSession, get_db
-from python.fastapi_tools.zstd_middleware import ZstdMiddleware
-
-__all__ = ["DbSession", "ZstdMiddleware", "get_db"]

python/fastapi_tools/db.py

@@ -1,16 +0,0 @@
-"""FastAPI dependencies."""
-
-from collections.abc import Iterator
-from typing import Annotated
-
-from fastapi import Depends, Request
-from sqlalchemy.orm import Session
-
-
-def get_db(request: Request) -> Iterator[Session]:
-    """Get database session from app state."""
-    with Session(request.app.state.engine) as session:
-        yield session
-
-
-DbSession = Annotated[Session, Depends(get_db)]

python/fastapi_tools/zstd_middleware.py

@@ -1,49 +0,0 @@
-"""Zstd response compression middleware."""
-
-from compression import zstd
-from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint
-from starlette.requests import Request
-from starlette.responses import Response
-
-MINIMUM_RESPONSE_SIZE = 500
-
-
-class ZstdMiddleware(BaseHTTPMiddleware):
-    """Middleware that compresses responses with zstd when the client supports it."""
-
-    async def dispatch(self, request: Request, call_next: RequestResponseEndpoint) -> Response:
-        """Compress the response with zstd if the client accepts it."""
-        accepted_encodings = request.headers.get("accept-encoding", "")
-        if "zstd" not in accepted_encodings:
-            return await call_next(request)
-
-        response = await call_next(request)
-
-        if response.headers.get("content-encoding") or "text/event-stream" in response.headers.get("content-type", ""):
-            return response
-
-        body = b""
-        async for chunk in response.body_iterator:
-            body += chunk if isinstance(chunk, bytes) else chunk.encode()
-
-        if len(body) < MINIMUM_RESPONSE_SIZE:
-            return Response(
-                content=body,
-                status_code=response.status_code,
-                headers=dict(response.headers),
-                media_type=response.media_type,
-            )
-
-        compressed = zstd.compress(body)
-
-        headers = dict(response.headers)
-        headers["content-encoding"] = "zstd"
-        headers["content-length"] = str(len(compressed))
-        headers.pop("transfer-encoding", None)
-
-        return Response(
-            content=compressed,
-            status_code=response.status_code,
-            headers=headers,
-            media_type=response.media_type,
-        )

python/gitea.py

@@ -1,347 +0,0 @@
-"""Small Gitea API client for repository automation."""
-
-from __future__ import annotations
-
-from dataclasses import dataclass
-from typing import Self
-from urllib.parse import quote
-
-import httpx
-
-DEFAULT_PAGE_SIZE = 100
-EXPECTED_NO_CONTENT = 204
-EXPECTED_CREATED = 201
-EXPECTED_OK = 200
-
-
-@dataclass(frozen=True)
-class CreatedIssue:
-    """Issue data returned by Gitea."""
-
-    number: int | None
-    html_url: str | None
-    title: str
-
-
-@dataclass(frozen=True)
-class PullRequest:
-    """Pull request data returned by Gitea."""
-
-    number: int
-    title: str
-    html_url: str | None
-    labels: tuple[str, ...]
-    head_branch: str | None
-    base_branch: str | None
-
-
-@dataclass(frozen=True)
-class WorkflowJob:
-    """Workflow job data returned by Gitea Actions."""
-
-    id: int
-    name: str
-    run_id: int | None
-    status: str | None
-    conclusion: str | None
-
-
-class GiteaError(RuntimeError):
-    """Raised when Gitea rejects an API request."""
-
-
-def split_repo_name(repo: str) -> tuple[str, str]:
-    """Split an owner/repo string into its parts."""
-    owner, separator, repo_name = repo.partition("/")
-    if not separator or not owner or not repo_name:
-        msg = f"Invalid repository name: {repo}"
-        raise ValueError(msg)
-    return owner, repo_name
-
-
-class GiteaClient:
-    """HTTP client for the subset of Gitea APIs used in this repository."""
-
-    def __init__(
-        self,
-        *,
-        base_url: str,
-        token: str,
-        timeout: int = 30,
-        transport: httpx.BaseTransport | None = None,
-    ) -> None:
-        """Initialize the Gitea client."""
-        self._client = httpx.Client(
-            base_url=base_url.rstrip("/"),
-            timeout=timeout,
-            headers={"Authorization": f"token {token}"},
-            transport=transport,
-        )
-
-    def create_issue(
-        self,
-        *,
-        owner: str,
-        repo: str,
-        title: str,
-        body: str,
-        labels: list[int] | None = None,
-    ) -> CreatedIssue:
-        """Create a Gitea issue."""
-        payload: dict[str, object] = {"title": title, "body": body, "labels": labels or []}
-        response = self._request(
-            "POST",
-            f"/api/v1/repos/{owner}/{repo}/issues",
-            expected_statuses={EXPECTED_CREATED},
-            json=payload,
-        )
-        data = response.json()
-        return CreatedIssue(
-            number=_optional_int(data.get("number")),
-            html_url=_optional_str(data.get("html_url")),
-            title=str(data.get("title", title)),
-        )
-
-    def resolve_label_ids(self, *, owner: str, repo: str, labels: list[str]) -> list[int]:
-        """Resolve label names to Gitea label IDs."""
-        if not labels:
-            return []
-
-        available_labels: dict[str, int] = {}
-        page = 1
-        while True:
-            response = self._request(
-                "GET",
-                f"/api/v1/repos/{owner}/{repo}/labels",
-                params={"page": page, "limit": DEFAULT_PAGE_SIZE},
-            )
-            batch = response.json()
-            if not batch:
-                break
-            for label in batch:
-                label_name = str(label.get("name", ""))
-                label_id = _optional_int(label.get("id"))
-                if label_name and label_id is not None:
-                    available_labels[label_name] = label_id
-            if len(batch) < DEFAULT_PAGE_SIZE:
-                break
-            page += 1
-
-        missing = [label for label in labels if label not in available_labels]
-        if missing:
-            missing_names = ", ".join(sorted(missing))
-            msg = f"Missing Gitea labels: {missing_names}"
-            raise GiteaError(msg)
-
-        return [available_labels[label] for label in labels]
-
-    def list_open_pull_requests(
-        self,
-        *,
-        owner: str,
-        repo: str,
-        labels: list[str] | None = None,
-        head: str | None = None,
-    ) -> list[PullRequest]:
-        """List open pull requests for a repository."""
-        expected_labels = set(labels or [])
-        pull_requests: list[PullRequest] = []
-        page = 1
-        while True:
-            response = self._request(
-                "GET",
-                f"/api/v1/repos/{owner}/{repo}/pulls",
-                params={"state": "open", "page": page, "limit": DEFAULT_PAGE_SIZE},
-            )
-            batch = response.json()
-            if not batch:
-                break
-
-            for item in batch:
-                pull_request = _pull_request_from_api(item)
-                if head and pull_request.head_branch != head:
-                    continue
-                if expected_labels and not expected_labels.issubset(set(pull_request.labels)):
-                    continue
-                pull_requests.append(pull_request)
-
-            if len(batch) < DEFAULT_PAGE_SIZE:
-                break
-            page += 1
-
-        return pull_requests
-
-    def create_pull_request(
-        self,
-        *,
-        owner: str,
-        repo: str,
-        title: str,
-        body: str,
-        head: str,
-        base: str,
-        labels: list[str] | None = None,
-    ) -> PullRequest:
-        """Create a pull request."""
-        payload: dict[str, object] = {
-            "title": title,
-            "body": body,
-            "head": head,
-            "base": base,
-        }
-        if labels:
-            payload["labels"] = self.resolve_label_ids(owner=owner, repo=repo, labels=labels)
-
-        response = self._request(
-            "POST",
-            f"/api/v1/repos/{owner}/{repo}/pulls",
-            expected_statuses={EXPECTED_CREATED},
-            json=payload,
-        )
-        return _pull_request_from_api(response.json())
-
-    def merge_pull_request(
-        self,
-        *,
-        owner: str,
-        repo: str,
-        number: int,
-        merge_method: str = "rebase",
-        head_commit_id: str | None = None,
-        delete_branch_after_merge: bool = False,
-    ) -> None:
-        """Merge a pull request."""
-        payload: dict[str, object] = {
-            "Do": merge_method,
-            "delete_branch_after_merge": delete_branch_after_merge,
-        }
-        if head_commit_id:
-            payload["head_commit_id"] = head_commit_id
-
-        self._request(
-            "POST",
-            f"/api/v1/repos/{owner}/{repo}/pulls/{number}/merge",
-            json=payload,
-        )
-
-    def dispatch_workflow(self, *, owner: str, repo: str, workflow_id: str, ref: str) -> None:
-        """Trigger a workflow_dispatch run."""
-        workflow_path = quote(workflow_id, safe="")
-        self._request(
-            "POST",
-            f"/api/v1/repos/{owner}/{repo}/actions/workflows/{workflow_path}/dispatches",
-            expected_statuses={EXPECTED_OK, EXPECTED_NO_CONTENT},
-            json={"ref": ref},
-        )
-
-    def list_run_jobs(self, *, owner: str, repo: str, run_id: str | int) -> list[WorkflowJob]:
-        """List workflow jobs for a specific run."""
-        jobs: list[WorkflowJob] = []
-        page = 1
-        while True:
-            response = self._request(
-                "GET",
-                f"/api/v1/repos/{owner}/{repo}/actions/jobs",
-                params={"page": page, "limit": DEFAULT_PAGE_SIZE},
-            )
-            payload = response.json()
-            batch = payload.get("jobs", [])
-            if not batch:
-                break
-
-            for item in batch:
-                if str(item.get("run_id")) != str(run_id):
-                    continue
-                jobs.append(_workflow_job_from_api(item))
-
-            if len(batch) < DEFAULT_PAGE_SIZE:
-                break
-            page += 1
-
-        return jobs
-
-    def download_job_logs(self, *, owner: str, repo: str, job_id: int) -> str:
-        """Download logs for a workflow job."""
-        response = self._request(
-            "GET",
-            f"/api/v1/repos/{owner}/{repo}/actions/jobs/{job_id}/logs",
-        )
-        return response.text
-
-    def close(self) -> None:
-        """Close the underlying HTTP client."""
-        self._client.close()
-
-    def __enter__(self) -> Self:
-        """Enter the context manager."""
-        return self
-
-    def __exit__(self, *args: object) -> None:
-        """Close the HTTP client."""
-        self.close()
-
-    def _request(
-        self,
-        method: str,
-        path: str,
-        *,
-        expected_statuses: set[int] | None = None,
-        **kwargs: object,
-    ) -> httpx.Response:
-        """Send an HTTP request and validate the response status."""
-        response = self._client.request(method, path, **kwargs)
-        statuses = expected_statuses or {EXPECTED_OK}
-        if response.status_code not in statuses:
-            msg = f"Gitea request failed ({response.status_code}): {response.text}"
-            raise GiteaError(msg)
-        return response
-
-
-def _pull_request_from_api(data: dict[str, object]) -> PullRequest:
-    """Convert Gitea API pull-request data into a dataclass."""
-    number = _optional_int(data.get("number")) or _optional_int(data.get("index"))
-    if number is None:
-        msg = "Gitea pull request payload is missing a number"
-        raise GiteaError(msg)
-
-    labels = tuple(str(label.get("name", "")) for label in data.get("labels", []))
-    head = data.get("head", {})
-    base = data.get("base", {})
-    return PullRequest(
-        number=number,
-        title=str(data.get("title", "")),
-        html_url=_optional_str(data.get("html_url")),
-        labels=tuple(label for label in labels if label),
-        head_branch=_optional_str(head.get("ref")) or _optional_str(data.get("head_branch")),
-        base_branch=_optional_str(base.get("ref")) or _optional_str(data.get("base_branch")),
-    )
-
-
-def _workflow_job_from_api(data: dict[str, object]) -> WorkflowJob:
-    """Convert Gitea API workflow-job data into a dataclass."""
-    job_id = _optional_int(data.get("id"))
-    if job_id is None:
-        msg = "Gitea workflow job payload is missing an ID"
-        raise GiteaError(msg)
-
-    return WorkflowJob(
-        id=job_id,
-        name=str(data.get("name", "")),
-        run_id=_optional_int(data.get("run_id")),
-        status=_optional_str(data.get("status")),
-        conclusion=_optional_str(data.get("conclusion")),
-    )
-
-
-def _optional_int(value: object) -> int | None:
-    """Convert an API value to an integer when present."""
-    if value is None:
-        return None
-    return int(value)
-
-
-def _optional_str(value: object) -> str | None:
-    """Convert an API value to a string when present."""
-    if value is None:
-        return None
-    return str(value)

python/gitea_flake_lock.py

@@ -1,148 +0,0 @@
-"""Automation helpers for flake.lock pull requests on Gitea."""
-
-from __future__ import annotations
-
-import subprocess
-from os import getenv
-from typing import Annotated
-
-import typer
-
-from python.gitea import GiteaClient, PullRequest, split_repo_name
-
-DEFAULT_BASE_BRANCH = "main"
-DEFAULT_BRANCH = "automation/update-flake-lock"
-DEFAULT_GITEA_URL = "https://gitea.tmmworkshop.com"
-PR_LABELS = ["dependencies", "automated", "flake_lock_update"]
-PR_CHECK_WORKFLOWS = ["build_systems.yml", "treefmt.yml", "pytest.yml"]
-PR_TITLE = "Update flake.lock"
-PR_BODY = "Automated flake.lock update."
-
-app = typer.Typer(add_completion=False)
-
-
-def run_cmd(cmd: list[str], *, check: bool = True) -> subprocess.CompletedProcess[str]:
-    """Run a subprocess command."""
-    return subprocess.run(cmd, capture_output=True, text=True, check=check)
-
-
-def ensure_flake_lock_pull_request(
-    client: GiteaClient,
-    *,
-    owner: str,
-    repo: str,
-    branch: str,
-    base: str,
-) -> PullRequest:
-    """Return an existing flake.lock PR for the branch or create one."""
-    pull_requests = client.list_open_pull_requests(owner=owner, repo=repo, head=branch)
-    if pull_requests:
-        return pull_requests[0]
-
-    return client.create_pull_request(
-        owner=owner,
-        repo=repo,
-        title=PR_TITLE,
-        body=PR_BODY,
-        head=branch,
-        base=base,
-        labels=PR_LABELS,
-    )
-
-
-def find_flake_lock_pull_request(client: GiteaClient, *, owner: str, repo: str) -> PullRequest | None:
-    """Find the first open flake.lock pull request."""
-    pull_requests = client.list_open_pull_requests(owner=owner, repo=repo, labels=["flake_lock_update"])
-    if not pull_requests:
-        return None
-    return pull_requests[0]
-
-
-def dispatch_pull_request_checks(client: GiteaClient, *, owner: str, repo: str, branch: str) -> None:
-    """Dispatch the workflows that normally run for pull requests."""
-    for workflow in PR_CHECK_WORKFLOWS:
-        client.dispatch_workflow(owner=owner, repo=repo, workflow_id=workflow, ref=branch)
-
-
-def has_worktree_changes() -> bool:
-    """Return whether `flake.lock` has worktree changes."""
-    result = run_cmd(["git", "diff", "--quiet", "--", "flake.lock"], check=False)
-    return result.returncode != 0
-
-
-def commit_flake_lock_update(*, branch: str) -> None:
-    """Commit the updated lock file to the automation branch."""
-    run_cmd(["git", "config", "user.name", "gitea-actions[bot]"])
-    run_cmd(["git", "config", "user.email", "gitea-actions@tmmworkshop.com"])
-    run_cmd(["git", "checkout", "-B", branch])
-    run_cmd(["git", "add", "flake.lock"])
-    run_cmd(["git", "commit", "-m", "chore: update flake.lock"])
-
-
-def push_branch(*, branch: str) -> None:
-    """Push the automation branch to origin."""
-    run_cmd(["git", "push", "origin", f"HEAD:{branch}", "--force"])
-
-
-def _required_gitea_token() -> str:
-    """Read the required Gitea token from the environment."""
-    token = getenv("GITEA_TOKEN")
-    if token:
-        return token
-
-    msg = "GITEA_TOKEN environment variable is required"
-    raise RuntimeError(msg)
-
-
-@app.command()
-def update(
-    repo: Annotated[str, typer.Option("--repo", help="Gitea repository in owner/repo form")],
-    base: Annotated[str, typer.Option("--base", help="Base branch")] = DEFAULT_BASE_BRANCH,
-    branch: Annotated[str, typer.Option("--branch", help="Automation branch")] = DEFAULT_BRANCH,
-) -> None:
-    """Commit flake.lock changes and ensure a pull request exists."""
-    if not has_worktree_changes():
-        typer.echo("No flake.lock changes detected")
-        return
-
-    commit_flake_lock_update(branch=branch)
-    push_branch(branch=branch)
-
-    owner, repo_name = split_repo_name(repo)
-    with GiteaClient(
-        base_url=getenv("GITEA_URL", DEFAULT_GITEA_URL),
-        token=_required_gitea_token(),
-    ) as client:
-        pull_request = ensure_flake_lock_pull_request(
-            client,
-            owner=owner,
-            repo=repo_name,
-            branch=branch,
-            base=base,
-        )
-        # We can remove this if Gitea fixes the following issue:
-        # https://github.com/go-gitea/gitea/issues/33963
-        dispatch_pull_request_checks(client, owner=owner, repo=repo_name, branch=branch)
-    typer.echo(pull_request.html_url or f"Pull request #{pull_request.number}")
-
-
-@app.command()
-def merge(
-    repo: Annotated[str, typer.Option("--repo", help="Gitea repository in owner/repo form")],
-) -> None:
-    """Merge the first open flake.lock pull request."""
-    owner, repo_name = split_repo_name(repo)
-    with GiteaClient(
-        base_url=getenv("GITEA_URL", DEFAULT_GITEA_URL),
-        token=_required_gitea_token(),
-    ) as client:
-        pull_request = find_flake_lock_pull_request(client, owner=owner, repo=repo_name)
-        if not pull_request:
-            typer.echo("No open PR found with label flake_lock_update")
-            return
-        client.merge_pull_request(owner=owner, repo=repo_name, number=pull_request.number, merge_method="rebase")
-    typer.echo(f"Merged PR #{pull_request.number}")
-
-
-if __name__ == "__main__":
-    app()

python/heater/__init__.py

@@ -1 +0,0 @@
-"""Tuya heater control service."""

python/heater/controller.py

@@ -1,69 +0,0 @@
-"""TinyTuya device controller for heater."""
-
-import logging
-
-import tinytuya
-
-from python.heater.models import ActionResult, DeviceConfig, HeaterStatus
-
-logger = logging.getLogger(__name__)
-
-# DPS mapping for heater
-DPS_POWER = "1"  # bool: on/off
-DPS_SETPOINT = "101"  # int: target temp (read-only)
-DPS_STATE = "102"  # str: "Stop", "Heat", etc.
-DPS_UNKNOWN = "104"  # int: unknown
-DPS_ERROR = "108"  # int: last error code
-
-
-class HeaterController:
-    """Controls a Tuya heater device via local network."""
-
-    def __init__(self, config: DeviceConfig) -> None:
-        """Initialize the controller."""
-        self.device = tinytuya.Device(config.device_id, config.ip, config.local_key)
-        self.device.set_version(config.version)
-        self.device.set_socketTimeout(0.5)
-        self.device.set_socketRetryLimit(1)
-
-    def status(self) -> HeaterStatus:
-        """Get current heater status."""
-        data = self.device.status()
-
-        if "Error" in data:
-            logger.error("Device error: %s", data)
-            return HeaterStatus(power=False, raw_dps={"error": data["Error"]})
-
-        dps = data.get("dps", {})
-        return HeaterStatus(
-            power=bool(dps.get(DPS_POWER, False)),
-            setpoint=dps.get(DPS_SETPOINT),
-            state=dps.get(DPS_STATE),
-            error_code=dps.get(DPS_ERROR),
-            raw_dps=dps,
-        )
-
-    def turn_on(self) -> ActionResult:
-        """Turn heater on."""
-        try:
-            self.device.set_value(index=DPS_POWER, value=True)
-            return ActionResult(success=True, action="on", power=True)
-        except Exception as error:
-            logger.exception("Failed to turn on")
-            return ActionResult(success=False, action="on", error=str(error))
-
-    def turn_off(self) -> ActionResult:
-        """Turn heater off."""
-        try:
-            self.device.set_value(index=DPS_POWER, value=False)
-            return ActionResult(success=True, action="off", power=False)
-        except Exception as error:
-            logger.exception("Failed to turn off")
-            return ActionResult(success=False, action="off", error=str(error))
-
-    def toggle(self) -> ActionResult:
-        """Toggle heater power state."""
-        status = self.status()
-        if status.power:
-            return self.turn_off()
-        return self.turn_on()

python/heater/main.py

@@ -1,85 +0,0 @@
-"""FastAPI heater control service."""
-
-import logging
-from collections.abc import AsyncIterator
-from contextlib import asynccontextmanager
-from typing import Annotated
-
-import typer
-import uvicorn
-from fastapi import FastAPI, HTTPException
-
-from python.common import configure_logger
-from python.heater.controller import HeaterController
-from python.heater.models import ActionResult, DeviceConfig, HeaterStatus
-
-logger = logging.getLogger(__name__)
-
-
-def create_app(config: DeviceConfig) -> FastAPI:
-    """Create FastAPI application."""
-
-    @asynccontextmanager
-    async def lifespan(app: FastAPI) -> AsyncIterator[None]:
-        app.state.controller = HeaterController(config)
-        yield
-
-    app = FastAPI(
-        title="Heater Control API",
-        description="Fast local control for Tuya heater",
-        lifespan=lifespan,
-    )
-
-    @app.get("/status")
-    def get_status() -> HeaterStatus:
-        return app.state.controller.status()
-
-    @app.post("/on")
-    def heater_on() -> ActionResult:
-        result = app.state.controller.turn_on()
-        if not result.success:
-            raise HTTPException(status_code=500, detail=result.error)
-        return result
-
-    @app.post("/off")
-    def heater_off() -> ActionResult:
-        result = app.state.controller.turn_off()
-        if not result.success:
-            raise HTTPException(status_code=500, detail=result.error)
-        return result
-
-    @app.post("/toggle")
-    def heater_toggle() -> ActionResult:
-        result = app.state.controller.toggle()
-        if not result.success:
-            raise HTTPException(status_code=500, detail=result.error)
-        return result
-
-    return app
-
-
-def serve(
-    host: Annotated[str, typer.Option("--host", "-h", help="Host to bind to")],
-    port: Annotated[int, typer.Option("--port", "-p", help="Port to bind to")] = 8124,
-    log_level: Annotated[str, typer.Option("--log-level", "-l", help="Log level")] = "INFO",
-    device_id: Annotated[str | None, typer.Option("--device-id", envvar="TUYA_DEVICE_ID")] = None,
-    device_ip: Annotated[str | None, typer.Option("--device-ip", envvar="TUYA_DEVICE_IP")] = None,
-    local_key: Annotated[str | None, typer.Option("--local-key", envvar="TUYA_LOCAL_KEY")] = None,
-) -> None:
-    """Start the heater control API server."""
-    configure_logger(log_level)
-
-    logger.info("Starting heater control API server")
-
-    if not device_id or not device_ip or not local_key:
-        error = "Must provide device ID, IP, and local key"
-        raise typer.Exit(error)
-
-    config = DeviceConfig(device_id=device_id, ip=device_ip, local_key=local_key)
-
-    app = create_app(config)
-    uvicorn.run(app, host=host, port=port)
-
-
-if __name__ == "__main__":
-    typer.run(serve)

python/heater/models.py

@@ -1,31 +0,0 @@
-"""Pydantic models for heater API."""
-
-from pydantic import BaseModel, Field
-
-
-class DeviceConfig(BaseModel):
-    """Tuya device configuration."""
-
-    device_id: str
-    ip: str
-    local_key: str
-    version: float = 3.5
-
-
-class HeaterStatus(BaseModel):
-    """Current heater status."""
-
-    power: bool
-    setpoint: int | None = None
-    state: str | None = None  # "Stop", "Heat", etc.
-    error_code: int | None = None
-    raw_dps: dict[str, object] = Field(default_factory=dict)
-
-
-class ActionResult(BaseModel):
-    """Result of a heater action."""
-
-    success: bool
-    action: str
-    power: bool | None = None
-    error: str | None = None

python/orm/__init__.py

@@ -1,9 +0,0 @@
-"""ORM package exports."""
-
-from python.orm.richie.base import RichieBase
-from python.orm.van_inventory.base import VanInventoryBase
-
-__all__ = [
-    "RichieBase",
-    "VanInventoryBase",
-]

python/orm/common.py

@@ -1,73 +0,0 @@
-"""Shared ORM definitions."""
-
-from __future__ import annotations
-
-from os import getenv
-from typing import cast
-
-from sqlalchemy import create_engine
-from sqlalchemy.engine import URL, Engine
-
-NAMING_CONVENTION = {
-    "ix": "ix_%(table_name)s_%(column_0_name)s",
-    "uq": "uq_%(table_name)s_%(column_0_name)s",
-    "ck": "ck_%(table_name)s_%(constraint_name)s",
-    "fk": "fk_%(table_name)s_%(column_0_name)s_%(referred_table_name)s",
-    "pk": "pk_%(table_name)s",
-}
-
-
-def get_connection_info(name: str) -> tuple[str, str, str, str, str | None]:
-    """Get connection info from environment variables."""
-    database = getenv(f"{name}_DB")
-    host = getenv(f"{name}_HOST")
-    port = getenv(f"{name}_PORT")
-    username = getenv(f"{name}_USER")
-    password = getenv(f"{name}_PASSWORD")
-
-    if None in (database, host, port, username):
-        error = f"Missing environment variables for Postgres connection.\n{database=}\n{host=}\n{port=}\n{username=}\n"
-        raise ValueError(error)
-    return cast("tuple[str, str, str, str, str | None]", (database, host, port, username, password))
-
-
-def get_postgres_engine(
-    *,
-    name: str = "POSTGRES",
-    pool_pre_ping: bool = True,
-    vector_engine: bool = False,
-) -> Engine:
-    """Create a SQLAlchemy engine from environment variables.
-
-    Args:
-        name (str, optional): The name of the environment variable prefix. Defaults to "POSTGRES".
-        pool_pre_ping (bool, optional): Whether to ping the database before each connection. Defaults to True.
-        This fixes the issue of trying to use a conection that has timed out on the database side.
-        vector_engine (bool, optional): Whether to use the vector search schema. Defaults to False.
-        This updates the search path the incldued the vecore types and operators.
-
-    Returns:
-        Engine: The SQLAlchemy engine.
-    """
-    database, host, port, username, password = get_connection_info(name)
-
-    url = URL.create(
-        drivername="postgresql+psycopg",
-        username=username,
-        password=password,
-        host=host,
-        port=int(port),
-        database=database,
-    )
-
-    connect_args = {}
-    # There more better way to do this is with separate PG account and a dedicated vector schema for the vector types
-    if vector_engine:
-        connect_args["options"] = "-csearch_path=main,public"
-
-    return create_engine(
-        url=url,
-        pool_pre_ping=pool_pre_ping,
-        pool_recycle=1800,
-        connect_args=connect_args,
-    )

python/orm/richie/__init__.py

@@ -1,44 +0,0 @@
-"""Richie database ORM exports."""
-
-from __future__ import annotations
-
-from python.orm.richie.audiobook import Audiobook, AudiobookAuthor, AudiobookSeries
-from python.orm.richie.base import RichieBase, TableBase, TableBaseBig, TableBaseSmall
-from python.orm.richie.contact import (
-    Contact,
-    ContactNeed,
-    ContactRelationship,
-    Need,
-    RelationshipType,
-)
-from python.orm.richie.ebook import (
-    EbookChapter,
-    EbookChunk,
-    EbookChunkEmbedding1024,
-    EbookChunkEmbedding2560,
-    EbookChunkEmbedding4096,
-    EbookEmbeddingModel,
-    EbookSource,
-)
-
-__all__ = [
-    "Audiobook",
-    "AudiobookAuthor",
-    "AudiobookSeries",
-    "Contact",
-    "ContactNeed",
-    "ContactRelationship",
-    "EbookChapter",
-    "EbookChunk",
-    "EbookChunkEmbedding1024",
-    "EbookChunkEmbedding2560",
-    "EbookChunkEmbedding4096",
-    "EbookEmbeddingModel",
-    "EbookSource",
-    "Need",
-    "RelationshipType",
-    "RichieBase",
-    "TableBase",
-    "TableBaseBig",
-    "TableBaseSmall",
-]

python/orm/richie/audiobook.py

@@ -1,55 +0,0 @@
-"""Audiobook catalog models."""
-
-from __future__ import annotations
-
-from sqlalchemy import ForeignKey, String, UniqueConstraint
-from sqlalchemy.orm import Mapped, mapped_column, relationship
-
-from python.orm.richie.base import TableBase
-
-
-class AudiobookAuthor(TableBase):
-    """Canonical audiobook author."""
-
-    __tablename__ = "audiobook_author"
-    __table_args__ = (UniqueConstraint("name"),)
-
-    name: Mapped[str] = mapped_column(String, unique=True)
-
-    books: Mapped[list[Audiobook]] = relationship("Audiobook", back_populates="author")
-    series: Mapped[list[AudiobookSeries]] = relationship("AudiobookSeries", back_populates="author")
-
-
-class AudiobookSeries(TableBase):
-    """Canonical audiobook series."""
-
-    __tablename__ = "audiobook_series"
-    __table_args__ = (UniqueConstraint("author_id", "name"),)
-
-    name: Mapped[str] = mapped_column(String)
-    author_id: Mapped[int] = mapped_column(ForeignKey("main.audiobook_author.id", ondelete="CASCADE"))
-
-    author: Mapped[AudiobookAuthor] = relationship("AudiobookAuthor", back_populates="series")
-    books: Mapped[list[Audiobook]] = relationship("Audiobook", back_populates="series")
-
-
-class Audiobook(TableBase):
-    """Canonical audiobook title."""
-
-    __tablename__ = "audiobook"
-    __table_args__ = (
-        UniqueConstraint(
-            "author_id",
-            "series_id",
-            "title",
-            postgresql_nulls_not_distinct=True,
-        ),
-    )
-
-    title: Mapped[str] = mapped_column(String)
-    author_id: Mapped[int] = mapped_column(ForeignKey("main.audiobook_author.id", ondelete="CASCADE"))
-    series_id: Mapped[int | None] = mapped_column(ForeignKey("main.audiobook_series.id", ondelete="SET NULL"))
-    series_index: Mapped[float] = mapped_column(default=0.0)
-
-    author: Mapped[AudiobookAuthor] = relationship("AudiobookAuthor", back_populates="books")
-    series: Mapped[AudiobookSeries | None] = relationship("AudiobookSeries", back_populates="books")

python/orm/richie/base.py

@@ -1,60 +0,0 @@
-"""Richie database ORM base."""
-
-from __future__ import annotations
-
-from datetime import datetime
-
-from sqlalchemy import BigInteger, DateTime, MetaData, SmallInteger, func
-from sqlalchemy.ext.declarative import AbstractConcreteBase
-from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
-
-from python.orm.common import NAMING_CONVENTION
-
-
-class RichieBase(DeclarativeBase):
-    """Base class for richie database ORM models."""
-
-    schema_name = "main"
-
-    metadata = MetaData(
-        schema=schema_name,
-        naming_convention=NAMING_CONVENTION,
-    )
-
-
-class _TableMixin:
-    """Shared timestamp columns for all table bases."""
-
-    created: Mapped[datetime] = mapped_column(
-        DateTime(timezone=True),
-        server_default=func.now(),
-    )
-    updated: Mapped[datetime] = mapped_column(
-        DateTime(timezone=True),
-        server_default=func.now(),
-        onupdate=func.now(),
-    )
-
-
-class TableBaseSmall(_TableMixin, AbstractConcreteBase, RichieBase):
-    """Table with SmallInteger primary key."""
-
-    __abstract__ = True
-
-    id: Mapped[int] = mapped_column(SmallInteger, primary_key=True)
-
-
-class TableBase(_TableMixin, AbstractConcreteBase, RichieBase):
-    """Table with Integer primary key."""
-
-    __abstract__ = True
-
-    id: Mapped[int] = mapped_column(primary_key=True)
-
-
-class TableBaseBig(_TableMixin, AbstractConcreteBase, RichieBase):
-    """Table with BigInteger primary key."""
-
-    __abstract__ = True
-
-    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)

python/orm/richie/contact.py

@@ -1,168 +0,0 @@
-"""Contact database models."""
-
-from __future__ import annotations
-
-from enum import StrEnum
-
-from sqlalchemy import ForeignKey, String
-from sqlalchemy.orm import Mapped, mapped_column, relationship
-
-from python.orm.richie.base import RichieBase, TableBase
-
-
-class RelationshipType(StrEnum):
-    """Relationship types with default closeness weights.
-
-    Default weight is an integer 1-10 where 10 = closest relationship.
-    Users can override this per-relationship in the UI.
-    """
-
-    SPOUSE = "spouse"
-    PARTNER = "partner"
-    PARENT = "parent"
-    CHILD = "child"
-    SIBLING = "sibling"
-    BEST_FRIEND = "best_friend"
-    GRANDPARENT = "grandparent"
-    GRANDCHILD = "grandchild"
-    AUNT_UNCLE = "aunt_uncle"
-    NIECE_NEPHEW = "niece_nephew"
-    COUSIN = "cousin"
-    IN_LAW = "in_law"
-    CLOSE_FRIEND = "close_friend"
-    FRIEND = "friend"
-    MENTOR = "mentor"
-    MENTEE = "mentee"
-    BUSINESS_PARTNER = "business_partner"
-    COLLEAGUE = "colleague"
-    MANAGER = "manager"
-    DIRECT_REPORT = "direct_report"
-    CLIENT = "client"
-    ACQUAINTANCE = "acquaintance"
-    NEIGHBOR = "neighbor"
-    EX = "ex"
-    OTHER = "other"
-
-    @property
-    def default_weight(self) -> int:
-        """Return the default closeness weight (1-10) for this relationship type."""
-        weights = {
-            RelationshipType.SPOUSE: 10,
-            RelationshipType.PARTNER: 10,
-            RelationshipType.PARENT: 9,
-            RelationshipType.CHILD: 9,
-            RelationshipType.SIBLING: 9,
-            RelationshipType.BEST_FRIEND: 8,
-            RelationshipType.GRANDPARENT: 7,
-            RelationshipType.GRANDCHILD: 7,
-            RelationshipType.AUNT_UNCLE: 7,
-            RelationshipType.NIECE_NEPHEW: 7,
-            RelationshipType.COUSIN: 7,
-            RelationshipType.IN_LAW: 7,
-            RelationshipType.CLOSE_FRIEND: 6,
-            RelationshipType.FRIEND: 6,
-            RelationshipType.MENTOR: 5,
-            RelationshipType.MENTEE: 5,
-            RelationshipType.BUSINESS_PARTNER: 5,
-            RelationshipType.COLLEAGUE: 4,
-            RelationshipType.MANAGER: 4,
-            RelationshipType.DIRECT_REPORT: 4,
-            RelationshipType.CLIENT: 4,
-            RelationshipType.ACQUAINTANCE: 3,
-            RelationshipType.NEIGHBOR: 3,
-            RelationshipType.EX: 2,
-            RelationshipType.OTHER: 2,
-        }
-        return weights.get(self, 5)
-
-    @property
-    def display_name(self) -> str:
-        """Return a human-readable display name."""
-        return self.value.replace("_", " ").title()
-
-
-class ContactNeed(RichieBase):
-    """Association table: Contact <-> Need."""
-
-    __tablename__ = "contact_need"
-
-    contact_id: Mapped[int] = mapped_column(
-        ForeignKey("main.contact.id", ondelete="CASCADE"),
-        primary_key=True,
-    )
-    need_id: Mapped[int] = mapped_column(
-        ForeignKey("main.need.id", ondelete="CASCADE"),
-        primary_key=True,
-    )
-
-
-class ContactRelationship(RichieBase):
-    """Association table: Contact <-> Contact with relationship type and weight."""
-
-    __tablename__ = "contact_relationship"
-
-    contact_id: Mapped[int] = mapped_column(
-        ForeignKey("main.contact.id", ondelete="CASCADE"),
-        primary_key=True,
-    )
-    related_contact_id: Mapped[int] = mapped_column(
-        ForeignKey("main.contact.id", ondelete="CASCADE"),
-        primary_key=True,
-    )
-    relationship_type: Mapped[str] = mapped_column(String(100))
-    closeness_weight: Mapped[int] = mapped_column(default=5)
-
-
-class Contact(TableBase):
-    """Contact model."""
-
-    __tablename__ = "contact"
-
-    name: Mapped[str]
-
-    age: Mapped[int | None]
-    bio: Mapped[str | None]
-    current_job: Mapped[str | None]
-    gender: Mapped[str | None]
-    goals: Mapped[str | None]
-    legal_name: Mapped[str | None]
-    profile_pic: Mapped[str | None]
-    safe_conversation_starters: Mapped[str | None]
-    self_sufficiency_score: Mapped[int | None]
-    social_structure_style: Mapped[str | None]
-    ssn: Mapped[str | None]
-    suffix: Mapped[str | None]
-    timezone: Mapped[str | None]
-    topics_to_avoid: Mapped[str | None]
-
-    needs: Mapped[list[Need]] = relationship(
-        "Need",
-        secondary=ContactNeed.__table__,
-        back_populates="contacts",
-    )
-
-    related_to: Mapped[list[ContactRelationship]] = relationship(
-        "ContactRelationship",
-        foreign_keys=[ContactRelationship.contact_id],
-        cascade="all, delete-orphan",
-    )
-    related_from: Mapped[list[ContactRelationship]] = relationship(
-        "ContactRelationship",
-        foreign_keys=[ContactRelationship.related_contact_id],
-        cascade="all, delete-orphan",
-    )
-
-
-class Need(TableBase):
-    """Need/accommodation model (e.g., light sensitive, ADHD)."""
-
-    __tablename__ = "need"
-
-    name: Mapped[str]
-    description: Mapped[str | None]
-
-    contacts: Mapped[list[Contact]] = relationship(
-        "Contact",
-        secondary=ContactNeed.__table__,
-        back_populates="needs",
-    )

python/orm/richie/ebook.py

@@ -1,138 +0,0 @@
-"""EPUB search models."""
-
-from __future__ import annotations
-
-from datetime import datetime
-
-from pgvector.sqlalchemy import Vector
-from sqlalchemy import BigInteger, Boolean, DateTime, ForeignKey, Index, String, UniqueConstraint
-from sqlalchemy.orm import Mapped, mapped_column, relationship
-
-from python.orm.richie.base import TableBase, TableBaseBig
-
-
-class EbookSource(TableBase):
-    """One indexed EPUB file."""
-
-    __tablename__ = "ebook_source"
-    __table_args__ = (
-        UniqueConstraint("file_path"),
-        UniqueConstraint("file_sha256"),
-    )
-
-    title: Mapped[str]
-    author: Mapped[str | None]
-    language: Mapped[str | None]
-    publisher: Mapped[str | None]
-    identifier: Mapped[str | None]
-    file_path: Mapped[str]
-    file_sha256: Mapped[str] = mapped_column(String(64))
-    file_mtime: Mapped[datetime] = mapped_column(DateTime(timezone=True))
-    file_size: Mapped[int] = mapped_column(BigInteger)
-
-    chapters: Mapped[list[EbookChapter]] = relationship(
-        "EbookChapter",
-        back_populates="source",
-        cascade="all, delete-orphan",
-        passive_deletes=True,
-    )
-    chunks: Mapped[list[EbookChunk]] = relationship(
-        "EbookChunk",
-        back_populates="source",
-        cascade="all, delete-orphan",
-        passive_deletes=True,
-    )
-
-
-class EbookChapter(TableBase):
-    """A chapter or spine document inside an EPUB."""
-
-    __tablename__ = "ebook_chapter"
-    __table_args__ = (UniqueConstraint("source_id", "spine_index"),)
-
-    source_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_source.id", ondelete="CASCADE"))
-    spine_index: Mapped[int]
-    title: Mapped[str | None]
-    href: Mapped[str | None]
-
-    source: Mapped[EbookSource] = relationship("EbookSource", back_populates="chapters")
-    chunks: Mapped[list[EbookChunk]] = relationship(
-        "EbookChunk",
-        back_populates="chapter",
-        cascade="all, delete-orphan",
-        passive_deletes=True,
-    )
-
-
-class EbookChunk(TableBaseBig):
-    """A searchable text chunk."""
-
-    __tablename__ = "ebook_chunk"
-    __table_args__ = (
-        UniqueConstraint("source_id", "chunk_index", name="uq_ebook_chunk_source_id_chunk_index"),
-        UniqueConstraint("source_id", "content_sha256", name="uq_ebook_chunk_source_id_content_sha256"),
-    )
-
-    source_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_source.id", ondelete="CASCADE"))
-    chapter_id: Mapped[int | None] = mapped_column(ForeignKey("main.ebook_chapter.id", ondelete="SET NULL"))
-    chunk_index: Mapped[int]
-    text: Mapped[str]
-    token_start: Mapped[int]
-    token_count: Mapped[int]
-    page_label: Mapped[str | None]
-    content_sha256: Mapped[str] = mapped_column(String(64))
-    search_text: Mapped[str]
-
-    source: Mapped[EbookSource] = relationship("EbookSource", back_populates="chunks")
-    chapter: Mapped[EbookChapter | None] = relationship("EbookChapter", back_populates="chunks")
-
-
-class EbookEmbeddingModel(TableBase):
-    """A supported embedding model."""
-
-    __tablename__ = "ebook_embedding_model"
-
-    name: Mapped[str] = mapped_column(String, unique=True)
-    dimension: Mapped[int]
-    is_default: Mapped[bool] = mapped_column(Boolean, default=False)
-
-
-class EbookChunkEmbedding1024(TableBaseBig):
-    """1024-dimensional chunk embedding."""
-
-    __tablename__ = "ebook_chunk_embedding_1024"
-    __table_args__ = (
-        UniqueConstraint("chunk_id", "model_id"),
-        Index(
-            "ix_ebook_chunk_embedding_1024_embedding_cosine",
-            "embedding",
-            postgresql_using="hnsw",
-            postgresql_ops={"embedding": "vector_cosine_ops"},
-        ),
-    )
-
-    chunk_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_chunk.id", ondelete="CASCADE"))
-    model_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_embedding_model.id", ondelete="CASCADE"))
-    embedding: Mapped[list[float]] = mapped_column(Vector(1024))
-
-
-class EbookChunkEmbedding2560(TableBaseBig):
-    """2560-dimensional chunk embedding."""
-
-    __tablename__ = "ebook_chunk_embedding_2560"
-    __table_args__ = (UniqueConstraint("chunk_id", "model_id"),)
-
-    chunk_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_chunk.id", ondelete="CASCADE"))
-    model_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_embedding_model.id", ondelete="CASCADE"))
-    embedding: Mapped[list[float]] = mapped_column(Vector(2560))
-
-
-class EbookChunkEmbedding4096(TableBaseBig):
-    """4096-dimensional chunk embedding."""
-
-    __tablename__ = "ebook_chunk_embedding_4096"
-    __table_args__ = (UniqueConstraint("chunk_id", "model_id"),)
-
-    chunk_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_chunk.id", ondelete="CASCADE"))
-    model_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_embedding_model.id", ondelete="CASCADE"))
-    embedding: Mapped[list[float]] = mapped_column(Vector(4096))

python/orm/van_inventory/__init__.py

@@ -1 +0,0 @@
-"""Van inventory database ORM exports."""

python/orm/van_inventory/base.py

@@ -1,39 +0,0 @@
-"""Van inventory database ORM base."""
-
-from __future__ import annotations
-
-from datetime import datetime
-
-from sqlalchemy import DateTime, MetaData, func
-from sqlalchemy.ext.declarative import AbstractConcreteBase
-from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
-
-from python.orm.common import NAMING_CONVENTION
-
-
-class VanInventoryBase(DeclarativeBase):
-    """Base class for van_inventory database ORM models."""
-
-    schema_name = "main"
-
-    metadata = MetaData(
-        schema=schema_name,
-        naming_convention=NAMING_CONVENTION,
-    )
-
-
-class VanTableBase(AbstractConcreteBase, VanInventoryBase):
-    """Abstract concrete base for van_inventory tables with IDs and timestamps."""
-
-    __abstract__ = True
-
-    id: Mapped[int] = mapped_column(primary_key=True)
-    created: Mapped[datetime] = mapped_column(
-        DateTime(timezone=True),
-        server_default=func.now(),
-    )
-    updated: Mapped[datetime] = mapped_column(
-        DateTime(timezone=True),
-        server_default=func.now(),
-        onupdate=func.now(),
-    )

python/orm/van_inventory/models.py

@@ -1,46 +0,0 @@
-"""Van inventory ORM models."""
-
-from __future__ import annotations
-
-from sqlalchemy import ForeignKey, UniqueConstraint
-from sqlalchemy.orm import Mapped, mapped_column, relationship
-
-from python.orm.van_inventory.base import VanTableBase
-
-
-class Item(VanTableBase):
-    """A food item in the van."""
-
-    __tablename__ = "items"
-
-    name: Mapped[str] = mapped_column(unique=True)
-    quantity: Mapped[float] = mapped_column(default=0)
-    unit: Mapped[str]
-    category: Mapped[str | None]
-
-    meal_ingredients: Mapped[list[MealIngredient]] = relationship(back_populates="item")
-
-
-class Meal(VanTableBase):
-    """A meal that can be made from items in the van."""
-
-    __tablename__ = "meals"
-
-    name: Mapped[str] = mapped_column(unique=True)
-    instructions: Mapped[str | None]
-
-    ingredients: Mapped[list[MealIngredient]] = relationship(back_populates="meal")
-
-
-class MealIngredient(VanTableBase):
-    """Links a meal to the items it requires, with quantities."""
-
-    __tablename__ = "meal_ingredients"
-    __table_args__ = (UniqueConstraint("meal_id", "item_id"),)
-
-    meal_id: Mapped[int] = mapped_column(ForeignKey("meals.id"))
-    item_id: Mapped[int] = mapped_column(ForeignKey("items.id"))
-    quantity_needed: Mapped[float]
-
-    meal: Mapped[Meal] = relationship(back_populates="ingredients")
-    item: Mapped[Item] = relationship(back_populates="meal_ingredients")