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18 Commits
| Author | SHA1 | Date | |
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| 6ced2ddd22 | |||
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| 9323803cb4 | |||
| 678c3bad76 | |||
| 88a1ecd3c4 | |||
| b28c612bf7 | |||
| 2bda4e311d | |||
| 5d0d86cb90 | |||
| 9d5b65ddbd | |||
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| 73f39e7df8 | |||
| 96d983b26a | |||
| c4a181b810 | |||
| 97ad21d2e4 |
@@ -0,0 +1,19 @@
|
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name: build
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on:
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push:
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branches: [master]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Login
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run: echo "${{ secrets.REGISTRY_TOKEN }}" | docker login gitea.czernobog.pl -u gitea --password-stdin
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- name: Build & push (data, logic, presentation)
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run: |
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TAG=${GITHUB_SHA::8}
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for SVC in data logic presentation; do
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docker build -t gitea.czernobog.pl/gitea/astrololo-$SVC:$TAG ./services/$SVC
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docker push gitea.czernobog.pl/gitea/astrololo-$SVC:$TAG
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done
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echo "Tag: $TAG"
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@@ -0,0 +1,96 @@
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name: Testy
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# Odpala się przy każdym pushu (dowolna gałąź) oraz dla pull requestów do master.
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on:
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push:
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pull_request:
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||||
branches: [master]
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jobs:
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logic-tests:
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name: Testy warstwy logicznej (silnik)
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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||||
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- name: Python 3.12 (jak w obrazach Dockera)
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uses: actions/setup-python@v5
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with:
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python-version: "3.12"
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cache: pip
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cache-dependency-path: services/logic/requirements-dev.txt
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# Jądro efemeryd JPL (de421.bsp, ~17 MB). Cache'ujemy je między runami.
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- name: Cache jądra efemeryd
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uses: actions/cache@v4
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with:
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path: services/logic/.ephemeris
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key: ephemeris-de421
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# Pobieramy jawnie (a nie licząc na auto-pobranie przez Skyfield), żeby
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# brak jądra był twardym błędem, a nie cichym pomijaniem testów.
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- name: Pobierz jądro efemeryd (gdy brak w cache)
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run: |
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mkdir -p services/logic/.ephemeris
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if [ ! -s services/logic/.ephemeris/de421.bsp ]; then
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curl -fSL --retry 3 --max-time 300 \
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-o services/logic/.ephemeris/de421.bsp \
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https://ssd.jpl.nasa.gov/ftp/eph/planets/bsp/de421.bsp
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fi
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ls -lh services/logic/.ephemeris/de421.bsp
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- name: Instalacja zależności
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run: pip install -r services/logic/requirements-dev.txt
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# CI=true (ustawiane przez GitHub) sprawia, że brak silnika = błąd,
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# a nie pominięcie — patrz tests/conftest.py.
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- name: Testy (pytest)
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working-directory: services/logic
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env:
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PYTHONPATH: .
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EPHEMERIS_DIR: ${{ github.workspace }}/services/logic/.ephemeris
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run: pytest tests -q -rs
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swisseph-image:
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name: Build obrazu silnika B (swisseph)
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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# Obraz kompiluje pyswisseph ze źródeł (brak wheeli dla cp312), więc ten
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# build jest realnym testem Dockerfile'a — nie tylko pobraniem paczek.
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- name: docker build
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run: docker build -t astrololo/engine-swisseph:ci services/engine-swisseph
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- name: Smoke test (health + pozycje)
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run: |
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docker run -d --name swe -p 8003:8003 astrololo/engine-swisseph:ci
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for i in $(seq 1 30); do
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curl -fsS http://localhost:8003/health >/dev/null 2>&1 && break
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sleep 1
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done
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curl -fsS http://localhost:8003/health
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echo
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# Horoskop referencyjny (30.04.1984) — ten sam, na którym opieramy testy
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# silnika własnego; sprawdzamy, że silnik B faktycznie liczy.
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curl -fsS -X POST http://localhost:8003/positions \
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-H 'Content-Type: application/json' \
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-d '{"when_utc":"1984-04-30T09:20:00Z","lat":50.0647,"lon":19.9450}'
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echo
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|
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- name: Logi kontenera (gdy coś padło)
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if: failure()
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run: docker logs swe || true
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compile-all:
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name: Kontrola składni wszystkich warstw
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runs-on: ubuntu-latest
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steps:
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||||
- uses: actions/checkout@v4
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||||
- uses: actions/setup-python@v5
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with:
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python-version: "3.12"
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# Sam kompilator — bez instalowania zależności warstw (w tym AGPL-owego
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# silnika swisseph, który nie wchodzi do produktu).
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- name: py_compile
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run: python -m compileall -q services
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@@ -73,3 +73,4 @@ export DATA_PROVIDER=sql # przełącz całą warstwę
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`SqlDataProvider` realizuje ten sam kontrakt `/search`, więc **warstwa logiczna i
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prezentacji nie zmieniają ani jednej linii**. Odwrócony indeks z L4 (SQLite) jest
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już pomostem — rozbudowa o wszystkie kolumny = docelowa baza.
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# updater test Mon 20 Jul 2026 19:52:08 CEST
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@@ -1,10 +1,34 @@
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# Build wieloetapowy — bo `pyswisseph` to rozszerzenie C bez gotowych wheeli.
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#
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# Na PyPI (2.10.3.2) wheels kończą się na cp311 i obejmują wyłącznie i686/x86_64.
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# Dla Pythona 3.12 oraz dla arm64 pip ZAWSZE kompiluje ze źródeł, a `-slim` nie ma
|
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# kompilatora — dlatego jednoetapowy build tu padał. Kompilujemy w etapie builder,
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||||
# a do obrazu finalnego wchodzi już tylko gotowy wheel (bez toolchaina).
|
||||
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FROM python:3.12-slim AS builder
|
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends build-essential \
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&& rm -rf /var/lib/apt/lists/*
|
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WORKDIR /build
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COPY requirements.txt .
|
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RUN pip wheel --no-cache-dir --wheel-dir /wheels -r requirements.txt
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||||
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||||
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FROM python:3.12-slim
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WORKDIR /app
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COPY --from=builder /wheels /wheels
|
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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RUN pip install --no-cache-dir --no-index --find-links=/wheels -r requirements.txt \
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&& rm -rf /wheels
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COPY . .
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# Sanity check na etapie budowania: brak działającego swissepha ma wywalić build,
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# a nie dopiero pierwszy request.
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RUN python -c "import swisseph as swe; swe.set_ephe_path(None); print('swisseph OK', swe.version)"
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EXPOSE 8003
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8003"]
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||||
@@ -15,9 +15,23 @@ permisywnej reszty systemu. **Nie wchodzi do dystrybucji zamkniętego produktu.*
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Tryb Moshiera (`FLG_MOSEPH`) — bez plików efemeryd, zero konfiguracji.
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||||
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## Build obrazu
|
||||
```bash
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docker compose --profile comparison build engine-swisseph
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```
|
||||
Dockerfile jest **wieloetapowy** i to nie jest ozdobnik: `pyswisseph` to rozszerzenie
|
||||
C, a na PyPI (2.10.3.2) gotowe wheels kończą się na **cp311** i obejmują wyłącznie
|
||||
**i686/x86_64**. Dla Pythona 3.12 oraz dla arm64 pip musi kompilować ze źródeł, więc
|
||||
sam `python:3.12-slim` (bez kompilatora) build wywracał. Kompilacja idzie w etapie
|
||||
`builder` (`build-essential`), a do obrazu finalnego trafia już tylko gotowy wheel —
|
||||
runtime zostaje czysty i mały. Pierwszy build trwa ~1–2 min, kolejne idą z cache warstw.
|
||||
|
||||
Build kończy się sanity-checkiem (`import swisseph`), żeby niedziałający silnik
|
||||
wykrzaczył build, a nie dopiero pierwszy request.
|
||||
|
||||
## Uruchomienie (tylko profil porównawczy / dev / CI)
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```bash
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pip install -r requirements.txt
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pip install -r requirements.txt # wymaga kompilatora C (patrz wyżej)
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||||
uvicorn app.main:app --port 8003
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```
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||||
Następnie w warstwie logicznej ustaw `ENGINE_SWISSEPH_URL=http://localhost:8003`,
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@@ -6,11 +6,12 @@ i nie w bazie.
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||||
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||||
## API
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||||
- `POST /api/query` → `QueryRequest` → `QueryResponse`
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||||
- `POST /chart/positions` → `{when_utc, lat, lon, house_system?}` → pełny horoskop: pozycje (LOG-01) + osie i domy (LOG-05) + aspekty główne z applying/separating (LOG-06) + opcjonalnie stacje planet (`stations:true`, LOG-03). Obiekty: 10 planet + mean NN/SN/Lilith (LOG-02). `house_system`: `whole_sign` (dom.) / `equal` / `porphyry`.
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||||
- `POST /chart/positions` → `{when_utc, lat, lon, house_system?}` → pełny horoskop: pozycje (LOG-01) + osie i domy (LOG-05) + aspekty główne z applying/separating (LOG-06) + opcjonalnie stacje planet (`stations:true`, LOG-03). Zwraca też sektę i 7 Lots hermetycznych z domami (LOG-08). Obiekty: 10 planet + mean NN/SN/Lilith (LOG-02). `house_system`: `whole_sign` (dom.) / `equal` / `porphyry`.
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- `POST /chart/report` → `{when_utc, lat, lon, limit?}` → wynik obliczeń wyszukany w bazie: fasety sygnifikatorów **w znaku / w domu / w aspekcie**, z rozwinięciem skrótów, odsiewaniem duplikatów (ten sam sygnifikator i opis), rankingiem siły (LOG-21) oraz opcją group (grupowanie identycznych opisów)
|
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- `POST /chart/profections` → `{when_utc, lat, lon, start_age?, count?}` → profekcje roczne: wiek, profektowany Asc, Władca Roku (+MC/Su/Mo) (LOG-10)
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- `POST /chart/return` → `{when_utc, lat, lon, kind, around?}` → Solar/Lunar Return: moment powrotu + pełny horoskop na ten moment (LOG-12)
|
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- `POST /chart/timeline` → `{when_utc, lat, lon, from_date, to_date, techniques?}` → zbiorcza oś czasu: profekcje + Solar Return + dyrekcje solar-arc, posortowane (technique | significator | start | exact | end) (LOG-14)
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- `POST /chart/firdaria` → `{when_utc, lat, lon}` → Firdaria: sekta (dzień/noc), okresy główne i podokresy time-lordów (LOG-11)
|
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- `POST /chart/timeline` → `{when_utc, lat, lon, from_date, to_date, techniques?}` → zbiorcza oś czasu: profekcje + Solar Return + dyrekcje solar-arc + Firdaria, posortowane (technique | significator | start | exact | end); z interpret=true dopina interpretacje z bazy do dat (LOG-14, 1B->2B)
|
||||
- `POST /chart/compare` → jak wyżej → raport różnic dwóch silników (LOG-26; wymaga silnika B)
|
||||
- `GET /health` (sprawdza też warstwę bazodanową)
|
||||
|
||||
|
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@@ -24,6 +24,8 @@ ABBREVIATIONS: dict[str, str] = {
|
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"NN": "North Node", "SN": "South Node", "Lilith": "Lilith", "Chiron": "Chiron",
|
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# osie
|
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"Asc": "Ascendant", "Dsc": "Descendant", "MC": "Midheaven", "IC": "Imum Coeli",
|
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# Lots (punkty arabskie)
|
||||
"PF": "Part of Fortune", "Fortune": "Part of Fortune", "Spirit": "Lot of Spirit",
|
||||
# aspekty
|
||||
"conj": "conjunction", "sex": "sextile", "sq": "square", "tri": "trine",
|
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"opp": "opposition", "semisex": "semisextile", "semisq": "semisquare",
|
||||
|
||||
@@ -21,7 +21,8 @@ def _fmt(name: str, lon: float) -> dict:
|
||||
}
|
||||
|
||||
|
||||
def build_chart(engine: EphemerisEngine, moment: ChartMoment, house_system: str = H.WHOLE_SIGN) -> dict:
|
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def build_chart(engine: EphemerisEngine, moment: ChartMoment, house_system: str = H.WHOLE_SIGN,
|
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lots_method: str = "degree") -> dict:
|
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from app.engine.aspects import find_aspects
|
||||
|
||||
positions = engine.positions(moment)
|
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@@ -50,4 +51,20 @@ def build_chart(engine: EphemerisEngine, moment: ChartMoment, house_system: str
|
||||
]
|
||||
for pdict, obj in zip(result["positions"], positions):
|
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pdict["house"] = H.assign_house(obj.longitude, cusp_list)
|
||||
|
||||
# Lots (LOG-08) — wymagają Asc i sekty (dzień/noc)
|
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from app.engine.firdaria import is_day_birth
|
||||
from app.engine.lots import compute_lots
|
||||
|
||||
pts = {p.name: p.longitude for p in positions}
|
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pts["Asc"] = asc
|
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day = is_day_birth(pts["Sun"], asc, mc) if "Sun" in pts else True
|
||||
result["sect"] = "day" if day else "night"
|
||||
result["lots"] = [
|
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{**lot,
|
||||
"sign": SIGNS[sign_index(lot["longitude"])],
|
||||
"in_sign": in_sign(lot["longitude"]),
|
||||
"house": H.assign_house(lot["longitude"], cusp_list)}
|
||||
for lot in compute_lots(pts, day, lots_method)
|
||||
]
|
||||
return result
|
||||
|
||||
@@ -0,0 +1,57 @@
|
||||
"""Firdaria (LOG-11) — perska technika time-lord.
|
||||
|
||||
Sekwencja okresów głównych zależy od sekty (dzień/noc). Sekta: urodzenie dzienne,
|
||||
gdy Słońce jest nad horyzontem, czyli po tej samej stronie osi Asc–Dsc co MC.
|
||||
|
||||
Klasyczne długości okresów (lata): Su 10, Ve 8, Me 13, Mo 9, Sa 11, Ju 12, Ma 7
|
||||
(razem 70) + Węzeł Północny 3 + Węzeł Południowy 2 = 75 lat. Każdy okres główny
|
||||
planety dzieli się na 7 podokresów (sub-lord w tej samej kolejności, cyklicznie).
|
||||
Węzły — bez podokresów (najczęstsza konwencja).
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
DAY_ORDER = ["Sun", "Venus", "Mercury", "Moon", "Saturn", "Jupiter", "Mars"]
|
||||
NIGHT_ORDER = ["Moon", "Saturn", "Jupiter", "Mars", "Sun", "Venus", "Mercury"]
|
||||
YEARS = {"Sun": 10, "Venus": 8, "Mercury": 13, "Moon": 9,
|
||||
"Saturn": 11, "Jupiter": 12, "Mars": 7}
|
||||
NODES = [("North Node", 3), ("South Node", 2)]
|
||||
DAYS_PER_YEAR = 365.2422
|
||||
|
||||
|
||||
def is_day_birth(sun_lon: float, asc: float, mc: float) -> bool:
|
||||
"""Słońce nad horyzontem = ta sama półkula osi Asc–Dsc co MC."""
|
||||
return (((sun_lon - asc) % 360.0) < 180.0) == (((mc - asc) % 360.0) < 180.0)
|
||||
|
||||
|
||||
def _date(birth: datetime, years: float) -> str:
|
||||
return (birth + timedelta(days=years * DAYS_PER_YEAR)).date().isoformat()
|
||||
|
||||
|
||||
def firdaria(birth: datetime, sun_lon: float, asc: float, mc: float) -> dict:
|
||||
"""Pełny rozkład Firdarii: sekta, kolejność, okresy główne i podokresy."""
|
||||
day = is_day_birth(sun_lon, asc, mc)
|
||||
order = DAY_ORDER if day else NIGHT_ORDER
|
||||
majors = [(lord, YEARS[lord]) for lord in order] + NODES
|
||||
|
||||
periods: list[dict] = []
|
||||
age = 0.0
|
||||
for lord, yrs in majors:
|
||||
period = {"lord": lord, "years": yrs,
|
||||
"start": _date(birth, age), "end": _date(birth, age + yrs)}
|
||||
if lord in YEARS: # planeta -> 7 podokresów
|
||||
sub_len = yrs / 7.0
|
||||
i = order.index(lord)
|
||||
sub_age = age
|
||||
subs: list[dict] = []
|
||||
for k in range(7):
|
||||
sub_lord = order[(i + k) % 7]
|
||||
subs.append({"lord": sub_lord,
|
||||
"start": _date(birth, sub_age),
|
||||
"end": _date(birth, sub_age + sub_len)})
|
||||
sub_age += sub_len
|
||||
period["sub"] = subs
|
||||
periods.append(period)
|
||||
age += yrs
|
||||
return {"sect": "day" if day else "night", "order": order, "periods": periods}
|
||||
@@ -0,0 +1,60 @@
|
||||
"""Lots / punkty arabskie (LOG-08) — 7 Lots hermetycznych.
|
||||
|
||||
Formuła: Lot = C + A − B (od punktu C odmierzamy odległość między A i B).
|
||||
Większość Lots **odwraca się w horoskopach nocnych** (zamiana A↔B) — np.
|
||||
Fortuna: dzień Asc + Mo − Su, noc Asc + Su − Mo.
|
||||
|
||||
Dwa warianty liczenia (notes3):
|
||||
- `degree` (domyślny) — dokładny stopień,
|
||||
- `sign` — liczone całymi znakami (Lot wypada na 0° wyliczonego znaku).
|
||||
|
||||
Kolejność ma znaczenie: Fortuna i Duch liczone są pierwsze, bo pozostałe Lots
|
||||
odwołują się do nich.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
from app.engine.formats import norm360, sign_index
|
||||
|
||||
# (nazwa, C, A, B, odwracalny w nocy)
|
||||
LOT_DEFS: list[tuple[str, str, str, str, bool]] = [
|
||||
("Fortune", "Asc", "Moon", "Sun", True),
|
||||
("Spirit", "Asc", "Sun", "Moon", True),
|
||||
("Eros", "Asc", "Venus", "Spirit", True),
|
||||
("Necessity", "Asc", "Fortune", "Mercury", True),
|
||||
("Courage", "Asc", "Fortune", "Mars", True),
|
||||
("Victory", "Asc", "Jupiter", "Spirit", True),
|
||||
("Nemesis", "Asc", "Fortune", "Saturn", True),
|
||||
]
|
||||
|
||||
METHODS = ("degree", "sign")
|
||||
|
||||
|
||||
def compute_lots(
|
||||
points: dict[str, float], is_day: bool, method: str = "degree"
|
||||
) -> list[dict]:
|
||||
"""points: nazwa → długość natalna (wymagane Asc + planety formuł).
|
||||
|
||||
Zwraca listę {name, longitude, formula} w kolejności definicji.
|
||||
"""
|
||||
if method not in METHODS:
|
||||
raise ValueError(f"nieznana metoda liczenia Lots: {method}")
|
||||
|
||||
vals = dict(points)
|
||||
out: list[dict] = []
|
||||
for name, c, a, b, reversible in LOT_DEFS:
|
||||
first, second = (a, b) if (is_day or not reversible) else (b, a)
|
||||
if any(k not in vals for k in (c, first, second)):
|
||||
continue # brak składnika — pomijamy
|
||||
if method == "sign":
|
||||
idx = (sign_index(vals[c]) + sign_index(vals[first])
|
||||
- sign_index(vals[second])) % 12
|
||||
lon = idx * 30.0
|
||||
else:
|
||||
lon = norm360(vals[c] + vals[first] - vals[second])
|
||||
vals[name] = lon # dostępny dla kolejnych Lots
|
||||
out.append({
|
||||
"name": name,
|
||||
"longitude": lon,
|
||||
"formula": f"{c} + {first} − {second}",
|
||||
})
|
||||
return out
|
||||
@@ -58,13 +58,15 @@ def solar_arc_directions(
|
||||
if not (lo_age <= age <= hi_age) or (p == q and arc < 1e-6):
|
||||
continue
|
||||
exact = _add_years(birth, age)
|
||||
out.append(_row(
|
||||
row = _row(
|
||||
"solar_arc",
|
||||
f"dyr. {p} {PL_NAME[asp]} {q}",
|
||||
_add_years(birth, age - orb_years),
|
||||
exact,
|
||||
_add_years(birth, age + orb_years),
|
||||
))
|
||||
)
|
||||
row.update(directed=p, aspect=asp, target=q) # do budowy tokenów (1B->2B)
|
||||
out.append(row)
|
||||
return out
|
||||
|
||||
|
||||
@@ -83,10 +85,13 @@ def profection_events(natal_asc: float, birth: datetime, lo: datetime, hi: datet
|
||||
if end < lo or start > hi:
|
||||
continue
|
||||
sign = profected_sign(natal_asc, age)
|
||||
out.append(_row(
|
||||
"profection", f"Władca Roku: {DOMICILE_RULERS[sign]} (Asc {sign}, wiek {age})",
|
||||
lord = DOMICILE_RULERS[sign]
|
||||
row = _row(
|
||||
"profection", f"Władca Roku: {lord} (Asc {sign}, wiek {age})",
|
||||
start, start, end,
|
||||
))
|
||||
)
|
||||
row.update(lord=lord, sign=sign) # do budowy tokenów (1B->2B)
|
||||
out.append(row)
|
||||
return out
|
||||
|
||||
|
||||
@@ -104,6 +109,28 @@ def solar_return_events(engine, natal_moment, birth: datetime, lo: datetime, hi:
|
||||
return out
|
||||
|
||||
|
||||
def firdaria_events(natal_points: dict[str, float], birth: datetime, lo: datetime, hi: datetime) -> list[dict]:
|
||||
"""Starty okresów/podokresów Firdarii (LOG-11) nachodzące na okno."""
|
||||
from app.engine.firdaria import firdaria
|
||||
|
||||
fd = firdaria(birth, natal_points["Sun"], natal_points["Asc"], natal_points["MC"])
|
||||
out: list[dict] = []
|
||||
for period in fd["periods"]:
|
||||
if "sub" in period:
|
||||
for s in period["sub"]:
|
||||
if lo <= _as_dt(s["start"]) <= hi:
|
||||
row = _row("firdaria", f"Firdaria: {period['lord']} / {s['lord']}",
|
||||
s["start"], s["start"], s["end"])
|
||||
row.update(fd_major=period["lord"], fd_sub=s["lord"])
|
||||
out.append(row)
|
||||
elif lo <= _as_dt(period["start"]) <= hi: # węzeł — bez podokresów
|
||||
row = _row("firdaria", f"Firdaria: {period['lord']}",
|
||||
period["start"], period["start"], period["end"])
|
||||
row.update(fd_major=period["lord"])
|
||||
out.append(row)
|
||||
return out
|
||||
|
||||
|
||||
def _as_dt(d) -> datetime:
|
||||
if isinstance(d, datetime):
|
||||
return d if d.tzinfo else d.replace(tzinfo=timezone.utc)
|
||||
@@ -119,7 +146,7 @@ def build_timeline(
|
||||
"""Scala wybrane techniki w jedną oś czasu, posortowaną po dacie dokładnej."""
|
||||
lo, hi = _as_dt(from_d), _as_dt(to_d)
|
||||
birth = natal_moment.when_utc
|
||||
want = set(techniques or ["profection", "solar_return", "solar_arc"])
|
||||
want = set(techniques or ["profection", "solar_return", "solar_arc", "firdaria"])
|
||||
events: list[dict] = []
|
||||
if "profection" in want:
|
||||
events += profection_events(natal_points["Asc"], birth, lo, hi)
|
||||
@@ -127,5 +154,7 @@ def build_timeline(
|
||||
events += solar_return_events(engine, natal_moment, birth, lo, hi)
|
||||
if "solar_arc" in want:
|
||||
events += solar_arc_directions(natal_points, birth, lo, hi)
|
||||
if "firdaria" in want:
|
||||
events += firdaria_events(natal_points, birth, lo, hi)
|
||||
events.sort(key=lambda e: e["exact"])
|
||||
return events
|
||||
|
||||
@@ -173,6 +173,27 @@ def chart_return(req: ReturnRequest) -> dict:
|
||||
"return_utc": hit.isoformat(), **chart}
|
||||
|
||||
|
||||
class FirdariaRequest(BaseModel):
|
||||
when_utc: datetime # moment urodzenia (UTC)
|
||||
lat: float = 0.0
|
||||
lon: float = 0.0
|
||||
|
||||
|
||||
@app.post("/chart/firdaria")
|
||||
def chart_firdaria(req: FirdariaRequest) -> dict:
|
||||
"""Firdaria (LOG-11): sekta + okresy główne i podokresy time-lordów."""
|
||||
from app.engine import houses as H
|
||||
from app.engine.firdaria import firdaria
|
||||
from app.engine.models import ChartMoment
|
||||
|
||||
engine = get_engine()
|
||||
natal = ChartMoment(when_utc=req.when_utc, lat=req.lat, lon=req.lon)
|
||||
ramc, eps = engine.sidereal(natal)
|
||||
asc, mc = H.compute_asc(ramc, eps, natal.lat), H.compute_mc(ramc, eps)
|
||||
sun = engine.positions(natal, ["Sun"])[0].longitude
|
||||
return {"engine": engine.name, **firdaria(req.when_utc, sun, asc, mc)}
|
||||
|
||||
|
||||
class TimelineRequest(BaseModel):
|
||||
when_utc: datetime # moment urodzenia (UTC)
|
||||
lat: float = 0.0
|
||||
@@ -180,11 +201,15 @@ class TimelineRequest(BaseModel):
|
||||
from_date: str # zakres: YYYY-MM-DD
|
||||
to_date: str
|
||||
techniques: list[str] | None = None # profection | solar_return | solar_arc
|
||||
interpret: bool = False # dopnij interpretacje z bazy (1B->2B)
|
||||
|
||||
|
||||
@app.post("/chart/timeline")
|
||||
def chart_timeline(req: TimelineRequest) -> dict:
|
||||
"""Zbiorcza oś czasu z technik (LOG-14): technique | significator | start | exact | end."""
|
||||
"""Zbiorcza oś czasu z technik (LOG-14): technique | significator | start | exact | end.
|
||||
|
||||
Z interpret=true dopina do zdarzeń interpretacje z warstwy danych (LOG-19, 1B->2B).
|
||||
"""
|
||||
from app.engine import houses as H
|
||||
from app.engine.models import ChartMoment
|
||||
from app.engine.timeline import build_timeline
|
||||
@@ -196,8 +221,16 @@ def chart_timeline(req: TimelineRequest) -> dict:
|
||||
for p in engine.positions(natal):
|
||||
points[p.name] = p.longitude
|
||||
events = build_timeline(engine, natal, points, req.from_date, req.to_date, req.techniques)
|
||||
return {"engine": engine.name, "from": req.from_date, "to": req.to_date,
|
||||
"count": len(events), "events": events}
|
||||
|
||||
out = {"engine": engine.name, "from": req.from_date, "to": req.to_date}
|
||||
if req.interpret:
|
||||
from app.significators import interpret_events
|
||||
try:
|
||||
interpret_events(events, DataClient())
|
||||
except httpx.HTTPError as e:
|
||||
out["data_error"] = f"Warstwa danych niedostępna: {e}"
|
||||
out.update(count=len(events), events=events)
|
||||
return out
|
||||
|
||||
|
||||
@app.get("/health")
|
||||
|
||||
@@ -22,6 +22,8 @@ PLANET_ABBR = {
|
||||
"Jupiter": "Ju", "Saturn": "Sa", "Uranus": "Ur", "Neptune": "Ne", "Pluto": "Pl",
|
||||
# punkty wirtualne — tokeny wg SIGNIFICATORS KEY ([NN, [SN, [Lilith)
|
||||
"North Node": "NN", "South Node": "SN", "Lilith": "Lilith",
|
||||
# Lots — w bazie Fortuna występuje jako [PF (Part of Fortune)
|
||||
"Fortune": "PF", "Spirit": "Spirit",
|
||||
}
|
||||
SIGN_TO_ABBR = dict(zip(SIGNS, SIGN_ABBR))
|
||||
|
||||
@@ -195,3 +197,61 @@ def build_report(
|
||||
"facets": facets,
|
||||
})
|
||||
return {"provider": provider, "objects": items}
|
||||
|
||||
|
||||
def _event_tokens(event: dict) -> list[str]:
|
||||
"""Tokeny bazy dla zdarzenia osi czasu (spięcie 1B→2B). Pierwszy = planeta."""
|
||||
from app.engine.aspects import DB_TOKEN
|
||||
|
||||
if event.get("technique") == "solar_arc":
|
||||
p = PLANET_ABBR.get(event.get("directed"))
|
||||
a = DB_TOKEN.get(event.get("aspect"))
|
||||
q = PLANET_ABBR.get(event.get("target")) # None dla Asc/MC (nie ma tokenu)
|
||||
toks = []
|
||||
if p:
|
||||
toks.append("[" + p)
|
||||
if a:
|
||||
toks.append(a)
|
||||
if q:
|
||||
toks.append("[" + q)
|
||||
return toks if p else []
|
||||
if event.get("technique") == "profection":
|
||||
lord = PLANET_ABBR.get(event.get("lord"))
|
||||
sign = SIGN_TO_ABBR.get(event.get("sign"))
|
||||
toks = []
|
||||
if lord:
|
||||
toks.append("[" + lord)
|
||||
if sign:
|
||||
toks.append("[" + sign)
|
||||
return toks if lord else []
|
||||
if event.get("technique") == "firdaria":
|
||||
major = PLANET_ABBR.get(event.get("fd_major"))
|
||||
sub = PLANET_ABBR.get(event.get("fd_sub"))
|
||||
toks = []
|
||||
if major:
|
||||
toks.append("[" + major)
|
||||
if sub:
|
||||
toks.append("[" + sub)
|
||||
return toks if major else []
|
||||
return []
|
||||
|
||||
|
||||
def interpret_events(events: list[dict], data: DataSource, limit: int = 4,
|
||||
per_object_limit: int = 5000) -> list[dict]:
|
||||
"""Dopina interpretacje z bazy do zdarzeń osi czasu (predykcyjne 1B → 2B).
|
||||
|
||||
Wyszukuje po tokenie planety zdarzenia i zawęża do wszystkich tokenów
|
||||
(aspekt/druga planeta lub znak), z odsiewaniem szumu i duplikatów.
|
||||
"""
|
||||
for ev in events:
|
||||
tokens = _event_tokens(ev)
|
||||
if not tokens:
|
||||
continue
|
||||
raw = data.search(
|
||||
key="significator", value=tokens[0], exact=False, limit=per_object_limit,
|
||||
fields=["significator", "actioneffect", "topicresult", "bodypart"],
|
||||
)
|
||||
samples = _facet_samples(raw.get("rows", []), tokens)
|
||||
ev["interpretations"] = samples[:limit]
|
||||
ev["interpretations_count"] = len(samples)
|
||||
return events
|
||||
|
||||
@@ -7,6 +7,7 @@ służą jako wyrocznia (LOG-25).
|
||||
from __future__ import annotations
|
||||
|
||||
import datetime as dt
|
||||
import os
|
||||
|
||||
import pytest
|
||||
|
||||
@@ -28,4 +29,8 @@ def own_engine():
|
||||
try:
|
||||
return SkyfieldEngine()
|
||||
except Exception as e: # brak efemeryd / brak sieci
|
||||
# Lokalnie pomijamy (dev bez pobranego jądra), ale w CI to musi być błąd —
|
||||
# inaczej testy referencyjne (walidacja względem astro.com) cicho znikają.
|
||||
if os.getenv("CI"):
|
||||
pytest.fail(f"CI: silnik efemeryd niedostępny — testy referencyjne muszą działać: {e}")
|
||||
pytest.skip(f"Nie można wczytać efemeryd: {e}")
|
||||
|
||||
@@ -0,0 +1,58 @@
|
||||
"""Firdaria (LOG-11) — sekta, kolejność, długości okresów, podokresy."""
|
||||
import datetime as dt
|
||||
|
||||
from app.engine.firdaria import DAY_ORDER, NIGHT_ORDER, YEARS, firdaria, is_day_birth
|
||||
from app.significators import _event_tokens
|
||||
|
||||
BIRTH = dt.datetime(1984, 4, 30, 7, 35, tzinfo=dt.timezone.utc)
|
||||
# horoskop referencyjny: Asc 112.18, MC 352.59, Sun 40.14 -> Day birth (notes3)
|
||||
ASC, MC, SUN = 112.18, 352.59, 40.14
|
||||
|
||||
|
||||
def test_reference_is_day_birth():
|
||||
assert is_day_birth(SUN, ASC, MC) is True # notes3: "Day birth (Diurnal)"
|
||||
|
||||
|
||||
def test_night_birth_uses_night_order():
|
||||
# Słońce po stronie IC (przeciwna półkula) -> noc
|
||||
assert is_day_birth((SUN + 180) % 360, ASC, MC) is False
|
||||
fd = firdaria(BIRTH, (SUN + 180) % 360, ASC, MC)
|
||||
assert fd["sect"] == "night" and fd["order"] == NIGHT_ORDER
|
||||
|
||||
|
||||
def test_diurnal_sequence_and_totals():
|
||||
fd = firdaria(BIRTH, SUN, ASC, MC)
|
||||
assert fd["sect"] == "day" and fd["order"] == DAY_ORDER
|
||||
lords = [p["lord"] for p in fd["periods"]]
|
||||
assert lords == DAY_ORDER + ["North Node", "South Node"]
|
||||
assert sum(p["years"] for p in fd["periods"]) == 75 # 70 + 3 + 2
|
||||
|
||||
|
||||
def test_planet_majors_have_seven_subperiods_summing_to_period():
|
||||
fd = firdaria(BIRTH, SUN, ASC, MC)
|
||||
for p in fd["periods"]:
|
||||
if p["lord"] in YEARS:
|
||||
assert len(p["sub"]) == 7
|
||||
assert p["sub"][0]["lord"] == p["lord"] # sub zaczyna się od władcy okresu
|
||||
assert p["sub"][0]["start"] == p["start"]
|
||||
assert p["sub"][-1]["end"] == p["end"]
|
||||
else:
|
||||
assert "sub" not in p # węzły bez podokresów
|
||||
|
||||
|
||||
def test_periods_are_contiguous():
|
||||
fd = firdaria(BIRTH, SUN, ASC, MC)
|
||||
for a, b in zip(fd["periods"], fd["periods"][1:]):
|
||||
assert a["end"] == b["start"]
|
||||
|
||||
|
||||
def test_age_42_is_saturn_major():
|
||||
# kumulatywnie: Su10 Ve8 Me13 Mo9 -> 40; Saturn 40-51 -> wiek 42 w Saturnie
|
||||
fd = firdaria(BIRTH, SUN, ASC, MC)
|
||||
saturn = next(p for p in fd["periods"] if p["lord"] == "Saturn")
|
||||
assert saturn["start"].startswith("2024") and saturn["end"].startswith("2035")
|
||||
|
||||
|
||||
def test_event_tokens_firdaria():
|
||||
ev = {"technique": "firdaria", "fd_major": "Saturn", "fd_sub": "Jupiter"}
|
||||
assert _event_tokens(ev) == ["[Sa", "[Ju"]
|
||||
@@ -0,0 +1,71 @@
|
||||
"""Lots / punkty arabskie (LOG-08).
|
||||
|
||||
Wyrocznie z notes3 (astro-seek, horoskop referencyjny 30.04.1984, urodzenie DZIENNE):
|
||||
- Fortuna wprost w tabeli obiektów: Cancer 12°35'24" = 102.5900°
|
||||
- Ducha (Spirit) potwierdza jego antyscja: Taurus 28°14' -> Spirit = 180 − 58.2333
|
||||
"""
|
||||
import pytest
|
||||
|
||||
from app.engine.formats import sign_index
|
||||
from app.engine.lots import LOT_DEFS, compute_lots
|
||||
|
||||
# natalne długości horoskopu referencyjnego
|
||||
NATAL = {"Asc": 112.1786, "Sun": 40.1392, "Moon": 30.5514, "Mercury": 27.3839,
|
||||
"Venus": 27.6769, "Mars": 234.5411, "Jupiter": 282.9617, "Saturn": 223.3108}
|
||||
|
||||
FORTUNE_REF = 102.5900 # Cancer 12°35'24"
|
||||
SPIRIT_REF = 180.0 - 58.2333 # z antyscji Taurus 28°14'
|
||||
|
||||
|
||||
def _by_name(lots):
|
||||
return {lot["name"]: lot["longitude"] for lot in lots}
|
||||
|
||||
|
||||
def _arcmin(a, b):
|
||||
return abs(((a - b + 180.0) % 360.0) - 180.0) * 60.0
|
||||
|
||||
|
||||
def test_fortune_matches_astroseek():
|
||||
lots = _by_name(compute_lots(NATAL, is_day=True))
|
||||
assert _arcmin(lots["Fortune"], FORTUNE_REF) < 2.0
|
||||
assert sign_index(lots["Fortune"]) == 3 # Cancer
|
||||
|
||||
|
||||
def test_spirit_matches_antiscia_reference():
|
||||
lots = _by_name(compute_lots(NATAL, is_day=True))
|
||||
assert _arcmin(lots["Spirit"], SPIRIT_REF) < 2.0
|
||||
|
||||
|
||||
def test_fortune_and_spirit_reverse_at_night():
|
||||
day = _by_name(compute_lots(NATAL, is_day=True))
|
||||
night = _by_name(compute_lots(NATAL, is_day=False))
|
||||
# nocą formuła się odwraca: Fortuna nocna = Duch dzienny (i odwrotnie)
|
||||
assert _arcmin(night["Fortune"], day["Spirit"]) < 0.01
|
||||
assert _arcmin(night["Spirit"], day["Fortune"]) < 0.01
|
||||
|
||||
|
||||
def test_all_seven_hermetic_lots_present():
|
||||
lots = compute_lots(NATAL, is_day=True)
|
||||
assert [lot["name"] for lot in lots] == [d[0] for d in LOT_DEFS]
|
||||
assert len(lots) == 7
|
||||
|
||||
|
||||
def test_derived_lots_use_fortune_and_spirit():
|
||||
lots = _by_name(compute_lots(NATAL, is_day=True))
|
||||
# Necessity = Asc + Fortune − Mercury
|
||||
expected = (NATAL["Asc"] + lots["Fortune"] - NATAL["Mercury"]) % 360.0
|
||||
assert _arcmin(lots["Necessity"], expected) < 0.01
|
||||
# Eros = Asc + Venus − Spirit
|
||||
expected_eros = (NATAL["Asc"] + NATAL["Venus"] - lots["Spirit"]) % 360.0
|
||||
assert _arcmin(lots["Eros"], expected_eros) < 0.01
|
||||
|
||||
|
||||
def test_by_sign_method_lands_on_sign_start():
|
||||
lots = compute_lots(NATAL, is_day=True, method="sign")
|
||||
for lot in lots:
|
||||
assert lot["longitude"] % 30.0 == 0.0 # 0° wyliczonego znaku
|
||||
|
||||
|
||||
def test_unknown_method_rejected():
|
||||
with pytest.raises(ValueError):
|
||||
compute_lots(NATAL, is_day=True, method="bzdura")
|
||||
@@ -0,0 +1,46 @@
|
||||
"""Spięcie osi czasu z bazą interpretacji (LOG-14 → 1B→2B)."""
|
||||
from app.significators import _event_tokens, interpret_events
|
||||
|
||||
|
||||
class FakeData:
|
||||
def __init__(self, rows_by_value):
|
||||
self.rows_by_value = rows_by_value
|
||||
|
||||
def search(self, key, value, exact, limit, fields=None):
|
||||
rows = self.rows_by_value.get(value, [])
|
||||
return {"provider": "fake", "total": len(rows), "rows": rows}
|
||||
|
||||
|
||||
def test_event_tokens_solar_arc():
|
||||
ev = {"technique": "solar_arc", "directed": "Venus", "aspect": "conjunction", "target": "North Node"}
|
||||
assert _event_tokens(ev) == ["[Ve", "[conj", "[NN"]
|
||||
|
||||
|
||||
def test_event_tokens_solar_arc_to_angle_has_no_target_token():
|
||||
ev = {"technique": "solar_arc", "directed": "Sun", "aspect": "square", "target": "MC"}
|
||||
assert _event_tokens(ev) == ["[Su", "[sq"] # MC nie ma tokenu planety
|
||||
|
||||
|
||||
def test_event_tokens_profection():
|
||||
ev = {"technique": "profection", "lord": "Saturn", "sign": "Capricorn"}
|
||||
assert _event_tokens(ev) == ["[Sa", "[Cap"]
|
||||
|
||||
|
||||
def test_solar_return_has_no_tokens():
|
||||
assert _event_tokens({"technique": "solar_return"}) == []
|
||||
|
||||
|
||||
def test_interpret_attaches_matches_with_all_tokens():
|
||||
events = [
|
||||
{"technique": "solar_arc", "directed": "Venus", "aspect": "conjunction", "target": "North Node"},
|
||||
{"technique": "solar_return"},
|
||||
]
|
||||
data = FakeData({"[Ve": [
|
||||
{"significator": "[Ve [conj [NN", "actioneffect": "spotkanie losowe"}, # wszystkie tokeny
|
||||
{"significator": "[Ve [conj [Mo", "actioneffect": "inny"}, # brak [NN
|
||||
{"significator": "[Ve [conj [NN", "actioneffect": "spotkanie losowe"}, # duplikat
|
||||
]})
|
||||
interpret_events(events, data)
|
||||
assert events[0]["interpretations_count"] == 1 # duplikat odsiany, tylko z [NN
|
||||
assert events[0]["interpretations"][0]["expanded"] == "Venus conjunction North Node"
|
||||
assert "interpretations" not in events[1] # solar_return pominięty
|
||||
@@ -56,3 +56,17 @@ class LogicClient:
|
||||
r = client.post(f"{self.base_url}/chart/report", json=payload)
|
||||
r.raise_for_status()
|
||||
return r.json()
|
||||
|
||||
def timeline(
|
||||
self, when_utc_iso: str, lat: float, lon: float,
|
||||
from_date: str, to_date: str, interpret: bool = True,
|
||||
) -> dict[str, Any]:
|
||||
"""Oś czasu z technik (+interpretacje z bazy) — woła logic /chart/timeline."""
|
||||
payload = {
|
||||
"when_utc": when_utc_iso, "lat": lat, "lon": lon,
|
||||
"from_date": from_date, "to_date": to_date, "interpret": interpret,
|
||||
}
|
||||
with httpx.Client(timeout=max(settings.http_timeout, 60.0)) as client:
|
||||
r = client.post(f"{self.base_url}/chart/timeline", json=payload)
|
||||
r.raise_for_status()
|
||||
return r.json()
|
||||
|
||||
@@ -132,6 +132,40 @@ def interpret_run(
|
||||
return templates.TemplateResponse(request, "interpret.html", ctx)
|
||||
|
||||
|
||||
# ---------------- Kalendarz (oś czasu z technik + interpretacje) ----------------
|
||||
@app.get("/timeline", response_class=HTMLResponse)
|
||||
def timeline_form(request: Request):
|
||||
return templates.TemplateResponse(request, "timeline.html", {"result": None, "form": {}})
|
||||
|
||||
|
||||
@app.post("/timeline", response_class=HTMLResponse)
|
||||
def timeline_run(
|
||||
request: Request,
|
||||
date: str = Form(...),
|
||||
time: str = Form(...),
|
||||
tz_offset: float = Form(0.0),
|
||||
lat: float = Form(0.0),
|
||||
lon: float = Form(0.0),
|
||||
from_date: str = Form(...),
|
||||
to_date: str = Form(...),
|
||||
):
|
||||
form = {"date": date, "time": time, "tz_offset": tz_offset, "lat": lat, "lon": lon,
|
||||
"from_date": from_date, "to_date": to_date}
|
||||
ctx: dict = {"form": form, "result": None, "error": None, "moment": None}
|
||||
try:
|
||||
iso_utc, label = _build_utc(date, time, tz_offset)
|
||||
ctx["moment"] = label
|
||||
ctx["result"] = logic.timeline(
|
||||
when_utc_iso=iso_utc, lat=lat, lon=lon,
|
||||
from_date=from_date, to_date=to_date, interpret=True,
|
||||
)
|
||||
except httpx.HTTPError as e:
|
||||
ctx["error"] = _logic_error(e)
|
||||
except ValueError as e:
|
||||
ctx["error"] = f"Niepoprawne dane wejściowe: {e}"
|
||||
return templates.TemplateResponse(request, "timeline.html", ctx)
|
||||
|
||||
|
||||
@app.get("/health")
|
||||
def health() -> dict:
|
||||
return {"status": "ok", "layer": "presentation"}
|
||||
|
||||
@@ -13,6 +13,7 @@
|
||||
<nav>
|
||||
<a href="/" class="{% block nav_chart %}{% endblock %}">Horoskop</a>
|
||||
<a href="/interpret" class="{% block nav_interp %}{% endblock %}">Interpretacje</a>
|
||||
<a href="/timeline" class="{% block nav_timeline %}{% endblock %}">Kalendarz</a>
|
||||
<a href="/significators" class="{% block nav_sig %}{% endblock %}">Sygnifikatory</a>
|
||||
</nav>
|
||||
</header>
|
||||
|
||||
@@ -88,6 +88,18 @@
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
{% if result.lots %}
|
||||
<div class="meta">Lots hermetyczne ({{ result.lots | length }}) · sekta: <strong>{{ result.sect }}</strong></div>
|
||||
<table class="angles">
|
||||
<thead><tr><th>Lot</th><th>Znak</th><th>W znaku</th><th>Dom</th><th>Formuła</th></tr></thead>
|
||||
<tbody>
|
||||
{% for l in result.lots %}
|
||||
<tr><td>{{ l.name }}</td><td>{{ l.sign }}</td><td class="mono">{{ l.in_sign }}</td><td>{{ l.house }}</td><td class="muted small">{{ l.formula }}</td></tr>
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
{% endif %}
|
||||
|
||||
{% set with_stations = result.positions | selectattr('stations', 'defined') | list %}
|
||||
{% if with_stations %}
|
||||
<div class="meta">Stacje planet (poprzednia / następna; <span class="badge">blisko</span> = mniej niż 7 dni)</div>
|
||||
|
||||
@@ -0,0 +1,77 @@
|
||||
{% extends "base.html" %}
|
||||
{% block title %}Kalendarz{% endblock %}
|
||||
{% block nav_timeline %}active{% endblock %}
|
||||
|
||||
{% block content %}
|
||||
<p class="sub">Zbiorcza oś czasu technik predykcyjnych (profekcje, solariusze, dyrekcje solar-arc) z interpretacjami z bazy dla dat.</p>
|
||||
|
||||
<form method="post" action="/timeline">
|
||||
<div class="grid">
|
||||
<label>Data urodzenia
|
||||
<input type="date" name="date" value="{{ form.date or '' }}" required>
|
||||
</label>
|
||||
<label>Godzina (lokalna)
|
||||
<input type="time" name="time" value="{{ form.time or '' }}" required>
|
||||
</label>
|
||||
<label>Strefa (offset h)
|
||||
<input type="number" name="tz_offset" step="0.25" value="{{ form.tz_offset if form.tz_offset is not none else 0 }}">
|
||||
</label>
|
||||
<label>Szerokość (lat)
|
||||
<input type="number" name="lat" step="0.0001" value="{{ form.lat if form.lat is not none else 0 }}">
|
||||
</label>
|
||||
<label>Długość (lon)
|
||||
<input type="number" name="lon" step="0.0001" value="{{ form.lon if form.lon is not none else 0 }}">
|
||||
</label>
|
||||
</div>
|
||||
<div class="grid">
|
||||
<label>Zakres od
|
||||
<input type="date" name="from_date" value="{{ form.from_date or '' }}" required>
|
||||
</label>
|
||||
<label>Zakres do
|
||||
<input type="date" name="to_date" value="{{ form.to_date or '' }}" required>
|
||||
</label>
|
||||
</div>
|
||||
<div class="actions">
|
||||
<button type="button" id="nowBtn" class="ghost">Tu i teraz</button>
|
||||
<button type="submit">Pokaż kalendarz</button>
|
||||
<span id="geoNote" class="muted small"></span>
|
||||
</div>
|
||||
</form>
|
||||
|
||||
{% if error %}<div class="error">{{ error }}</div>{% endif %}
|
||||
|
||||
{% if result %}
|
||||
{% if result.data_error %}<div class="error">{{ result.data_error }}</div>{% endif %}
|
||||
<div class="meta">
|
||||
Silnik: <strong>{{ result.engine }}</strong> ·
|
||||
zdarzeń: {{ result.count }} · zakres {{ result.from }} → {{ result.to }}
|
||||
</div>
|
||||
|
||||
{% for e in result.events %}
|
||||
<div class="sig-item">
|
||||
<div class="sig-head">
|
||||
<span class="badge">{{ e.exact }}</span>
|
||||
<span class="badge">{{ e.technique }}</span>
|
||||
<strong>{{ e.significator }}</strong>
|
||||
<span class="muted small">(okno {{ e.start }} → {{ e.end }})</span>
|
||||
</div>
|
||||
{% if e.interpretations %}
|
||||
<table class="samples">
|
||||
<tbody>
|
||||
{% for s in e.interpretations %}
|
||||
<tr><td class="sig nowrap" title="{{ s.significator }}">{{ s.expanded }}</td><td>{{ s.effect }}</td></tr>
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
{% if e.interpretations_count > e.interpretations | length %}
|
||||
<div class="muted small">…i {{ e.interpretations_count - (e.interpretations | length) }} więcej</div>
|
||||
{% endif %}
|
||||
{% elif e.technique != 'solar_return' %}
|
||||
<div class="muted small">brak dopasowań w bazie</div>
|
||||
{% endif %}
|
||||
</div>
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
<script src="/static/now.js"></script>
|
||||
{% endblock %}
|
||||
Reference in New Issue
Block a user