mirror of
https://github.com/migatu/astrololo.git
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Merge pull request #20 from migatu/feat/timeline-interpretations
Spiecie osi czasu z baza interpretacji i widokiem (LOG-14, 1B->2B)
This commit is contained in:
@@ -10,7 +10,7 @@ i nie w bazie.
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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/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); z interpret=true dopina interpretacje z bazy do dat (LOG-14, 1B->2B)
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- `POST /chart/compare` → jak wyżej → raport różnic dwóch silników (LOG-26; wymaga silnika B)
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- `GET /health` (sprawdza też warstwę bazodanową)
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@@ -58,13 +58,15 @@ def solar_arc_directions(
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if not (lo_age <= age <= hi_age) or (p == q and arc < 1e-6):
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continue
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exact = _add_years(birth, age)
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out.append(_row(
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row = _row(
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"solar_arc",
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f"dyr. {p} {PL_NAME[asp]} {q}",
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_add_years(birth, age - orb_years),
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exact,
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_add_years(birth, age + orb_years),
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))
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)
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row.update(directed=p, aspect=asp, target=q) # do budowy tokenów (1B->2B)
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out.append(row)
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return out
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@@ -83,10 +85,13 @@ def profection_events(natal_asc: float, birth: datetime, lo: datetime, hi: datet
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if end < lo or start > hi:
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continue
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sign = profected_sign(natal_asc, age)
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out.append(_row(
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"profection", f"Władca Roku: {DOMICILE_RULERS[sign]} (Asc {sign}, wiek {age})",
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lord = DOMICILE_RULERS[sign]
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row = _row(
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"profection", f"Władca Roku: {lord} (Asc {sign}, wiek {age})",
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start, start, end,
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))
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)
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row.update(lord=lord, sign=sign) # do budowy tokenów (1B->2B)
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out.append(row)
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return out
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@@ -180,11 +180,15 @@ class TimelineRequest(BaseModel):
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from_date: str # zakres: YYYY-MM-DD
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to_date: str
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techniques: list[str] | None = None # profection | solar_return | solar_arc
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interpret: bool = False # dopnij interpretacje z bazy (1B->2B)
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@app.post("/chart/timeline")
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def chart_timeline(req: TimelineRequest) -> dict:
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"""Zbiorcza oś czasu z technik (LOG-14): technique | significator | start | exact | end."""
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"""Zbiorcza oś czasu z technik (LOG-14): technique | significator | start | exact | end.
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Z interpret=true dopina do zdarzeń interpretacje z warstwy danych (LOG-19, 1B->2B).
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"""
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from app.engine import houses as H
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from app.engine.models import ChartMoment
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from app.engine.timeline import build_timeline
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@@ -196,8 +200,16 @@ def chart_timeline(req: TimelineRequest) -> dict:
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for p in engine.positions(natal):
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points[p.name] = p.longitude
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events = build_timeline(engine, natal, points, req.from_date, req.to_date, req.techniques)
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return {"engine": engine.name, "from": req.from_date, "to": req.to_date,
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"count": len(events), "events": events}
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out = {"engine": engine.name, "from": req.from_date, "to": req.to_date}
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if req.interpret:
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from app.significators import interpret_events
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try:
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interpret_events(events, DataClient())
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except httpx.HTTPError as e:
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out["data_error"] = f"Warstwa danych niedostępna: {e}"
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out.update(count=len(events), events=events)
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return out
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@app.get("/health")
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@@ -195,3 +195,52 @@ def build_report(
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"facets": facets,
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})
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return {"provider": provider, "objects": items}
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def _event_tokens(event: dict) -> list[str]:
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"""Tokeny bazy dla zdarzenia osi czasu (spięcie 1B→2B). Pierwszy = planeta."""
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from app.engine.aspects import DB_TOKEN
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if event.get("technique") == "solar_arc":
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p = PLANET_ABBR.get(event.get("directed"))
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a = DB_TOKEN.get(event.get("aspect"))
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q = PLANET_ABBR.get(event.get("target")) # None dla Asc/MC (nie ma tokenu)
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toks = []
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if p:
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toks.append("[" + p)
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if a:
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toks.append(a)
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if q:
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toks.append("[" + q)
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return toks if p else []
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if event.get("technique") == "profection":
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lord = PLANET_ABBR.get(event.get("lord"))
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sign = SIGN_TO_ABBR.get(event.get("sign"))
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toks = []
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if lord:
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toks.append("[" + lord)
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if sign:
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toks.append("[" + sign)
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return toks if lord else []
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return []
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def interpret_events(events: list[dict], data: DataSource, limit: int = 4,
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per_object_limit: int = 5000) -> list[dict]:
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"""Dopina interpretacje z bazy do zdarzeń osi czasu (predykcyjne 1B → 2B).
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Wyszukuje po tokenie planety zdarzenia i zawęża do wszystkich tokenów
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(aspekt/druga planeta lub znak), z odsiewaniem szumu i duplikatów.
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"""
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for ev in events:
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tokens = _event_tokens(ev)
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if not tokens:
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continue
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raw = data.search(
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key="significator", value=tokens[0], exact=False, limit=per_object_limit,
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fields=["significator", "actioneffect", "topicresult", "bodypart"],
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)
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samples = _facet_samples(raw.get("rows", []), tokens)
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ev["interpretations"] = samples[:limit]
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ev["interpretations_count"] = len(samples)
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return events
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@@ -0,0 +1,46 @@
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"""Spięcie osi czasu z bazą interpretacji (LOG-14 → 1B→2B)."""
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from app.significators import _event_tokens, interpret_events
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class FakeData:
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def __init__(self, rows_by_value):
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self.rows_by_value = rows_by_value
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def search(self, key, value, exact, limit, fields=None):
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rows = self.rows_by_value.get(value, [])
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return {"provider": "fake", "total": len(rows), "rows": rows}
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def test_event_tokens_solar_arc():
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ev = {"technique": "solar_arc", "directed": "Venus", "aspect": "conjunction", "target": "North Node"}
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assert _event_tokens(ev) == ["[Ve", "[conj", "[NN"]
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def test_event_tokens_solar_arc_to_angle_has_no_target_token():
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ev = {"technique": "solar_arc", "directed": "Sun", "aspect": "square", "target": "MC"}
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assert _event_tokens(ev) == ["[Su", "[sq"] # MC nie ma tokenu planety
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def test_event_tokens_profection():
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ev = {"technique": "profection", "lord": "Saturn", "sign": "Capricorn"}
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assert _event_tokens(ev) == ["[Sa", "[Cap"]
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def test_solar_return_has_no_tokens():
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assert _event_tokens({"technique": "solar_return"}) == []
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def test_interpret_attaches_matches_with_all_tokens():
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events = [
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{"technique": "solar_arc", "directed": "Venus", "aspect": "conjunction", "target": "North Node"},
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{"technique": "solar_return"},
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]
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data = FakeData({"[Ve": [
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{"significator": "[Ve [conj [NN", "actioneffect": "spotkanie losowe"}, # wszystkie tokeny
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{"significator": "[Ve [conj [Mo", "actioneffect": "inny"}, # brak [NN
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{"significator": "[Ve [conj [NN", "actioneffect": "spotkanie losowe"}, # duplikat
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]})
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interpret_events(events, data)
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assert events[0]["interpretations_count"] == 1 # duplikat odsiany, tylko z [NN
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assert events[0]["interpretations"][0]["expanded"] == "Venus conjunction North Node"
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assert "interpretations" not in events[1] # solar_return pominięty
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@@ -56,3 +56,17 @@ class LogicClient:
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r = client.post(f"{self.base_url}/chart/report", json=payload)
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r.raise_for_status()
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return r.json()
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def timeline(
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self, when_utc_iso: str, lat: float, lon: float,
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from_date: str, to_date: str, interpret: bool = True,
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) -> dict[str, Any]:
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"""Oś czasu z technik (+interpretacje z bazy) — woła logic /chart/timeline."""
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payload = {
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"when_utc": when_utc_iso, "lat": lat, "lon": lon,
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"from_date": from_date, "to_date": to_date, "interpret": interpret,
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}
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with httpx.Client(timeout=max(settings.http_timeout, 60.0)) as client:
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r = client.post(f"{self.base_url}/chart/timeline", json=payload)
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r.raise_for_status()
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return r.json()
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@@ -132,6 +132,40 @@ def interpret_run(
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return templates.TemplateResponse(request, "interpret.html", ctx)
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# ---------------- Kalendarz (oś czasu z technik + interpretacje) ----------------
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@app.get("/timeline", response_class=HTMLResponse)
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def timeline_form(request: Request):
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return templates.TemplateResponse(request, "timeline.html", {"result": None, "form": {}})
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@app.post("/timeline", response_class=HTMLResponse)
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def timeline_run(
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request: Request,
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date: str = Form(...),
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time: str = Form(...),
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tz_offset: float = Form(0.0),
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lat: float = Form(0.0),
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lon: float = Form(0.0),
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from_date: str = Form(...),
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to_date: str = Form(...),
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):
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form = {"date": date, "time": time, "tz_offset": tz_offset, "lat": lat, "lon": lon,
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"from_date": from_date, "to_date": to_date}
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ctx: dict = {"form": form, "result": None, "error": None, "moment": None}
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try:
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iso_utc, label = _build_utc(date, time, tz_offset)
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ctx["moment"] = label
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ctx["result"] = logic.timeline(
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when_utc_iso=iso_utc, lat=lat, lon=lon,
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from_date=from_date, to_date=to_date, interpret=True,
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)
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except httpx.HTTPError as e:
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ctx["error"] = _logic_error(e)
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except ValueError as e:
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ctx["error"] = f"Niepoprawne dane wejściowe: {e}"
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return templates.TemplateResponse(request, "timeline.html", ctx)
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@app.get("/health")
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def health() -> dict:
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return {"status": "ok", "layer": "presentation"}
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@@ -13,6 +13,7 @@
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<nav>
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<a href="/" class="{% block nav_chart %}{% endblock %}">Horoskop</a>
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<a href="/interpret" class="{% block nav_interp %}{% endblock %}">Interpretacje</a>
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<a href="/timeline" class="{% block nav_timeline %}{% endblock %}">Kalendarz</a>
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<a href="/significators" class="{% block nav_sig %}{% endblock %}">Sygnifikatory</a>
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</nav>
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</header>
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@@ -0,0 +1,77 @@
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{% extends "base.html" %}
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{% block title %}Kalendarz{% endblock %}
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{% block nav_timeline %}active{% endblock %}
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{% block content %}
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<p class="sub">Zbiorcza oś czasu technik predykcyjnych (profekcje, solariusze, dyrekcje solar-arc) z interpretacjami z bazy dla dat.</p>
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<form method="post" action="/timeline">
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<div class="grid">
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<label>Data urodzenia
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<input type="date" name="date" value="{{ form.date or '' }}" required>
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</label>
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<label>Godzina (lokalna)
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<input type="time" name="time" value="{{ form.time or '' }}" required>
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</label>
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<label>Strefa (offset h)
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<input type="number" name="tz_offset" step="0.25" value="{{ form.tz_offset if form.tz_offset is not none else 0 }}">
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</label>
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<label>Szerokość (lat)
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<input type="number" name="lat" step="0.0001" value="{{ form.lat if form.lat is not none else 0 }}">
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</label>
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<label>Długość (lon)
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<input type="number" name="lon" step="0.0001" value="{{ form.lon if form.lon is not none else 0 }}">
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</label>
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</div>
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<div class="grid">
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<label>Zakres od
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<input type="date" name="from_date" value="{{ form.from_date or '' }}" required>
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</label>
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<label>Zakres do
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<input type="date" name="to_date" value="{{ form.to_date or '' }}" required>
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</label>
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</div>
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<div class="actions">
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<button type="button" id="nowBtn" class="ghost">Tu i teraz</button>
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<button type="submit">Pokaż kalendarz</button>
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<span id="geoNote" class="muted small"></span>
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</div>
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</form>
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{% if error %}<div class="error">{{ error }}</div>{% endif %}
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{% if result %}
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{% if result.data_error %}<div class="error">{{ result.data_error }}</div>{% endif %}
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<div class="meta">
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Silnik: <strong>{{ result.engine }}</strong> ·
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zdarzeń: {{ result.count }} · zakres {{ result.from }} → {{ result.to }}
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</div>
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{% for e in result.events %}
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<div class="sig-item">
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<div class="sig-head">
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<span class="badge">{{ e.exact }}</span>
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<span class="badge">{{ e.technique }}</span>
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<strong>{{ e.significator }}</strong>
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<span class="muted small">(okno {{ e.start }} → {{ e.end }})</span>
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</div>
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{% if e.interpretations %}
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<table class="samples">
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<tbody>
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{% for s in e.interpretations %}
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<tr><td class="sig nowrap" title="{{ s.significator }}">{{ s.expanded }}</td><td>{{ s.effect }}</td></tr>
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{% endfor %}
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</tbody>
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</table>
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{% if e.interpretations_count > e.interpretations | length %}
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<div class="muted small">…i {{ e.interpretations_count - (e.interpretations | length) }} więcej</div>
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{% endif %}
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{% elif e.technique != 'solar_return' %}
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<div class="muted small">brak dopasowań w bazie</div>
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{% endif %}
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</div>
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{% endfor %}
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{% endif %}
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<script src="/static/now.js"></script>
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{% endblock %}
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