# -*- coding: utf-8 -*- """ plan_router.py – v0.12.0 (WP-15) Minimal-CRUD für Plan-Templates & Pläne (POST/GET) + Idempotenz via Fingerprint. NEU in v0.12.0: - List-/Filter-Endpoints: GET /plan_templates, GET /plans - Umfangreiche Swagger-Doku (summary/description, Query-Parameter mit Beschreibungen & Beispielen) """ from fastapi import APIRouter, HTTPException, Query from pydantic import BaseModel, Field from typing import List, Optional, Dict, Any from uuid import uuid4 from datetime import datetime, timezone import hashlib import json import os from clients import model, qdrant from qdrant_client.models import PointStruct, Filter, FieldCondition, MatchValue, VectorParams, Distance router = APIRouter(tags=["plans"]) # ----------------- # Konfiguration # ----------------- PLAN_COLLECTION = os.getenv("PLAN_COLLECTION") or os.getenv("QDRANT_COLLECTION_PLANS", "plans") PLAN_TEMPLATE_COLLECTION = os.getenv("PLAN_TEMPLATE_COLLECTION", "plan_templates") PLAN_SESSION_COLLECTION = os.getenv("PLAN_SESSION_COLLECTION", "plan_sessions") EXERCISE_COLLECTION = os.getenv("EXERCISE_COLLECTION", "exercises") # ----------------- # Modelle # ----------------- class TemplateSection(BaseModel): name: str target_minutes: int must_keywords: List[str] = [] ideal_keywords: List[str] = [] supplement_keywords: List[str] = [] forbid_keywords: List[str] = [] capability_targets: Dict[str, int] = {} class PlanTemplate(BaseModel): id: str = Field(default_factory=lambda: str(uuid4())) name: str discipline: str age_group: str target_group: str total_minutes: int sections: List[TemplateSection] = [] goals: List[str] = [] equipment_allowed: List[str] = [] created_by: str version: str class PlanItem(BaseModel): exercise_external_id: str duration: int why: str class PlanSection(BaseModel): name: str items: List[PlanItem] = [] minutes: int class Plan(BaseModel): id: str = Field(default_factory=lambda: str(uuid4())) template_id: Optional[str] = None title: str discipline: str age_group: str target_group: str total_minutes: int sections: List[PlanSection] = [] goals: List[str] = [] capability_summary: Dict[str, int] = {} novelty_against_last_n: Optional[float] = None fingerprint: Optional[str] = None created_by: str created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) source: str = "API" class PlanTemplateList(BaseModel): items: List[PlanTemplate] limit: int offset: int count: int class PlanList(BaseModel): items: List[Plan] limit: int offset: int count: int # ----------------- # Helpers # ----------------- def _ensure_collection(name: str): if not qdrant.collection_exists(name): qdrant.recreate_collection( collection_name=name, vectors_config=VectorParams(size=model.get_sentence_embedding_dimension(), distance=Distance.COSINE), ) def _norm_list(xs: List[str]) -> List[str]: seen, out = set(), [] for x in xs or []: s = str(x).strip() k = s.casefold() if s and k not in seen: seen.add(k) out.append(s) return sorted(out, key=str.casefold) def _template_embed_text(tpl: PlanTemplate) -> str: parts = [tpl.name, tpl.discipline, tpl.age_group, tpl.target_group] parts += tpl.goals parts += [s.name for s in tpl.sections] return ". ".join([p for p in parts if p]) def _plan_embed_text(p: Plan) -> str: parts = [p.title, p.discipline, p.age_group, p.target_group] parts += p.goals parts += [s.name for s in p.sections] return ". ".join([p for p in parts if p]) def _embed(text: str): return model.encode(text or "").tolist() def _fingerprint_for_plan(p: Plan) -> str: core = { "title": p.title, "total_minutes": int(p.total_minutes), "items": [ {"exercise_external_id": it.exercise_external_id, "duration": int(it.duration)} for sec in p.sections for it in (sec.items or []) ], } raw = json.dumps(core, sort_keys=True, ensure_ascii=False) return hashlib.sha256(raw.encode("utf-8")).hexdigest() def _get_by_field(collection: str, key: str, value: Any) -> Optional[Dict[str, Any]]: flt = Filter(must=[FieldCondition(key=key, match=MatchValue(value=value))]) pts, _ = qdrant.scroll(collection_name=collection, scroll_filter=flt, limit=1, with_payload=True) if not pts: return None payload = dict(pts[0].payload or {}) payload.setdefault("id", str(pts[0].id)) return payload def _as_model(model_cls, payload: Dict[str, Any]): fields = getattr(model_cls, "model_fields", None) or getattr(model_cls, "__fields__", {}) allowed = set(fields.keys()) data = {k: payload[k] for k in payload.keys() if k in allowed} return model_cls(**data) def _truthy(val: Optional[str]) -> bool: return str(val or "").strip().lower() in {"1", "true", "yes", "on"} def _exists_in_collection(collection: str, key: str, value: Any) -> bool: flt = Filter(must=[FieldCondition(key=key, match=MatchValue(value=value))]) pts, _ = qdrant.scroll(collection_name=collection, scroll_filter=flt, limit=1, with_payload=False) return bool(pts) # ----------------- # CRUD (bestehend) # ----------------- @router.post( "/plan_templates", response_model=PlanTemplate, summary="Create a plan template", description=( "Erstellt ein Plan-Template (Strukturplanung).\n\n" "• Mehrere Sections erlaubt.\n" "• Section-Felder: must/ideal/supplement/forbid keywords + capability_targets.\n" "• Materialisierte Facettenfelder (section_*) werden intern geschrieben, um Qdrant-Filter zu beschleunigen." ), ) def create_plan_template(t: PlanTemplate): _ensure_collection(PLAN_TEMPLATE_COLLECTION) payload = t.model_dump() payload["goals"] = _norm_list(payload.get("goals")) sections = payload.get("sections", []) or [] for s in sections: s["must_keywords"] = _norm_list(s.get("must_keywords") or []) s["ideal_keywords"] = _norm_list(s.get("ideal_keywords") or []) s["supplement_keywords"] = _norm_list(s.get("supplement_keywords") or []) s["forbid_keywords"] = _norm_list(s.get("forbid_keywords") or []) payload["section_names"] = _norm_list([s.get("name", "") for s in sections]) payload["section_must_keywords"] = _norm_list([kw for s in sections for kw in (s.get("must_keywords") or [])]) payload["section_ideal_keywords"] = _norm_list([kw for s in sections for kw in (s.get("ideal_keywords") or [])]) payload["section_supplement_keywords"] = _norm_list([kw for s in sections for kw in (s.get("supplement_keywords") or [])]) payload["section_forbid_keywords"] = _norm_list([kw for s in sections for kw in (s.get("forbid_keywords") or [])]) vec = _embed(_template_embed_text(t)) qdrant.upsert(collection_name=PLAN_TEMPLATE_COLLECTION, points=[PointStruct(id=str(t.id), vector=vec, payload=payload)]) return t @router.get( "/plan_templates/{tpl_id}", response_model=PlanTemplate, summary="Read a plan template by id", description="Liest ein Template anhand seiner ID und gibt nur die Schemafelder zurück (zusätzliche Payload wird herausgefiltert).", ) def get_plan_template(tpl_id: str): _ensure_collection(PLAN_TEMPLATE_COLLECTION) found = _get_by_field(PLAN_TEMPLATE_COLLECTION, "id", tpl_id) if not found: raise HTTPException(status_code=404, detail="not found") return _as_model(PlanTemplate, found) @router.post( "/plan", response_model=Plan, summary="Create a concrete training plan", description=( "Erstellt einen konkreten Trainingsplan.\n\n" "Idempotenz: gleicher Fingerprint (title + items) → gleicher Plan (kein Duplikat).\n" "Optional: Validierung von template_id und Exercises (Strict-Mode)." ), ) def create_plan(p: Plan): _ensure_collection(PLAN_COLLECTION) if p.template_id: if not _exists_in_collection(PLAN_TEMPLATE_COLLECTION, "id", p.template_id): raise HTTPException(status_code=422, detail=f"Unknown template_id: {p.template_id}") if _truthy(os.getenv("PLAN_STRICT_EXERCISES")): missing: List[str] = [] for sec in p.sections or []: for it in sec.items or []: exid = (it.exercise_external_id or "").strip() if exid and not _exists_in_collection(EXERCISE_COLLECTION, "external_id", exid): missing.append(exid) if missing: raise HTTPException(status_code=422, detail={"error": "unknown exercise_external_id", "missing": sorted(set(missing))}) fp = _fingerprint_for_plan(p) p.fingerprint = p.fingerprint or fp existing = _get_by_field(PLAN_COLLECTION, "fingerprint", p.fingerprint) if existing: return _as_model(Plan, existing) p.goals = _norm_list(p.goals) payload = p.model_dump() if isinstance(payload.get("created_at"), datetime): payload["created_at"] = payload["created_at"].astimezone(timezone.utc).isoformat() vec = _embed(_plan_embed_text(p)) qdrant.upsert(collection_name=PLAN_COLLECTION, points=[PointStruct(id=str(p.id), vector=vec, payload=payload)]) return p @router.get( "/plan/{plan_id}", response_model=Plan, summary="Read a training plan by id", description="Liest einen Plan anhand seiner ID. `created_at` wird (falls ISO-String) zu `datetime` geparst.", ) def get_plan(plan_id: str): _ensure_collection(PLAN_COLLECTION) found = _get_by_field(PLAN_COLLECTION, "id", plan_id) if not found: raise HTTPException(status_code=404, detail="not found") if isinstance(found.get("created_at"), str): try: found["created_at"] = datetime.fromisoformat(found["created_at"]) except Exception: pass return _as_model(Plan, found) # ----------------- # NEW: List-/Filter-Endpoints # ----------------- @router.get( "/plan_templates", response_model=PlanTemplateList, summary="List plan templates (filterable)", description=( "Listet Plan-Templates mit Filtern.\n\n" "**Filter** (exakte Matches, KEYWORD-Felder):\n" "- discipline, age_group, target_group\n" "- section: Section-Name (nutzt materialisierte `section_names`)\n" "- goal: Ziel (nutzt `goals`)\n" "- keyword: trifft auf beliebige Section-Keyword-Felder (must/ideal/supplement/forbid).\n\n" "**Pagination:** limit/offset. Feld `count` entspricht der Anzahl zurückgegebener Items (keine Gesamtsumme)." ), ) def list_plan_templates( discipline: Optional[str] = Query(None, description="Filter: Disziplin (exaktes KEYWORD-Match)", example="Karate"), age_group: Optional[str] = Query(None, description="Filter: Altersgruppe", example="Teenager"), target_group: Optional[str] = Query(None, description="Filter: Zielgruppe", example="Breitensport"), section: Optional[str] = Query(None, description="Filter: Section-Name (materialisiert)", example="Warmup"), goal: Optional[str] = Query(None, description="Filter: Trainingsziel", example="Technik"), keyword: Optional[str] = Query(None, description="Filter: Keyword in must/ideal/supplement/forbid", example="Koordination"), limit: int = Query(20, ge=1, le=200, description="Max. Anzahl Items"), offset: int = Query(0, ge=0, description="Start-Offset für Paging"), ): _ensure_collection(PLAN_TEMPLATE_COLLECTION) must: List[Any] = [] should: List[Any] = [] if discipline: must.append(FieldCondition(key="discipline", match=MatchValue(value=discipline))) if age_group: must.append(FieldCondition(key="age_group", match=MatchValue(value=age_group))) if target_group: must.append(FieldCondition(key="target_group", match=MatchValue(value=target_group))) if section: must.append(FieldCondition(key="section_names", match=MatchValue(value=section))) if goal: must.append(FieldCondition(key="goals", match=MatchValue(value=goal))) if keyword: for k in [ "section_must_keywords", "section_ideal_keywords", "section_supplement_keywords", "section_forbid_keywords", ]: should.append(FieldCondition(key=k, match=MatchValue(value=keyword))) flt = None if must or should: flt = Filter(must=must or None, should=should or None) # einfache Offset-Implementierung: wir holen (offset+limit) und slicen lokal fetch_n = offset + limit fetch_n = max(fetch_n, 1) pts, _ = qdrant.scroll(collection_name=PLAN_TEMPLATE_COLLECTION, scroll_filter=flt, limit=fetch_n, with_payload=True) items = [] for p in pts[offset:offset+limit]: payload = dict(p.payload or {}) payload.setdefault("id", str(p.id)) items.append(_as_model(PlanTemplate, payload)) return PlanTemplateList(items=items, limit=limit, offset=offset, count=len(items)) @router.get( "/plans", response_model=PlanList, summary="List training plans (filterable)", description=( "Listet Trainingspläne mit Filtern.\n\n" "**Filter** (exakte Matches, KEYWORD-Felder):\n" "- created_by, discipline, age_group, target_group, goal\n" "- section: Section-Name (aktuell verschachteltes `sections.name`; optional später materialisieren als `plan_section_names`)\n" "- created_from / created_to: ISO‑8601 Zeitfenster (lokal ausgewertet).\n\n" "**Pagination:** limit/offset. Feld `count` entspricht der Anzahl zurückgegebener Items (keine Gesamtsumme)." ), ) def list_plans( created_by: Optional[str] = Query(None, description="Filter: Ersteller", example="tester"), discipline: Optional[str] = Query(None, description="Filter: Disziplin", example="Karate"), age_group: Optional[str] = Query(None, description="Filter: Altersgruppe", example="Teenager"), target_group: Optional[str] = Query(None, description="Filter: Zielgruppe", example="Breitensport"), goal: Optional[str] = Query(None, description="Filter: Trainingsziel", example="Technik"), section: Optional[str] = Query(None, description="Filter: Section-Name", example="Warmup"), created_from: Optional[str] = Query(None, description="Ab-Zeitpunkt (ISO 8601, z. B. 2025-08-12T00:00:00Z)", example="2025-08-12T00:00:00Z"), created_to: Optional[str] = Query(None, description="Bis-Zeitpunkt (ISO 8601)", example="2025-08-13T00:00:00Z"), limit: int = Query(20, ge=1, le=200, description="Max. Anzahl Items"), offset: int = Query(0, ge=0, description="Start-Offset für Paging"), ): _ensure_collection(PLAN_COLLECTION) must: List[Any] = [] if created_by: must.append(FieldCondition(key="created_by", match=MatchValue(value=created_by))) if discipline: must.append(FieldCondition(key="discipline", match=MatchValue(value=discipline))) if age_group: must.append(FieldCondition(key="age_group", match=MatchValue(value=age_group))) if target_group: must.append(FieldCondition(key="target_group", match=MatchValue(value=target_group))) if goal: must.append(FieldCondition(key="goals", match=MatchValue(value=goal))) if section: # Achtung: verschachtelt – funktioniert in eurer Qdrant-Version; sonst Schritt 3 (Materialisierung) must.append(FieldCondition(key="sections.name", match=MatchValue(value=section))) flt = Filter(must=must or None) if must else None fetch_n = offset + limit fetch_n = max(fetch_n, 1) pts, _ = qdrant.scroll(collection_name=PLAN_COLLECTION, scroll_filter=flt, limit=fetch_n, with_payload=True) # optionales Zeitfenster lokal anwenden (created_at ist ISO‑String im Payload) def _in_window(py): if not (created_from or created_to): return True ts = py.get("created_at") if isinstance(ts, dict) and ts.get("$date"): ts = ts["$date"] if isinstance(ts, str): try: dt = datetime.fromisoformat(ts.replace("Z", "+00:00")) except Exception: return False elif isinstance(ts, datetime): dt = ts else: return False ok = True if created_from: try: ok = ok and dt >= datetime.fromisoformat(created_from.replace("Z", "+00:00")) except Exception: pass if created_to: try: ok = ok and dt <= datetime.fromisoformat(created_to.replace("Z", "+00:00")) except Exception: pass return ok payloads = [] for p in pts: py = dict(p.payload or {}) py.setdefault("id", str(p.id)) if _in_window(py): payloads.append(py) sliced = payloads[offset:offset+limit] items = [_as_model(Plan, x) for x in sliced] return PlanList(items=items, limit=limit, offset=offset, count=len(items))