Add species_detail trait pipeline with static dataset imports

- Add trait_importer.py to populate species_detail from PanTHERIA
  (mammals), EltonTraits (birds/mammals), and AmphiBIO (amphibians)
- Add EOL_requester.py with Wikidata SPARQL trait fetcher as fallback
- Add source trait CSVs to wildlife/trait_data/
- Update wilddex.db with initial trait data

dev_scripts/EOL_requester.py

@@ -0,0 +1,106 @@
+import requests
+
+SPARQL_URL = "https://query.wikidata.org/sparql"
+HEADERS = {"User-Agent": "WildDex/1.0 (wildlife app; contact via github)", "Accept": "application/sparql-results+json"}
+
+
+def fetch_wikidata_traits(scientific_name: str) -> dict:
+    """
+    Query Wikidata by scientific name and return available trait data.
+    Returns a dict with keys matching species_detail columns (values may be None).
+    """
+    query = f"""
+    SELECT
+      ?mass ?massUnit ?massUnitLabel
+      ?lifespan ?lifespanUnit ?lifespanUnitLabel
+      ?dietLabel
+      ?habitatLabel
+      ?activityLabel
+    WHERE {{
+      ?item wdt:P225 "{scientific_name}" .
+
+      OPTIONAL {{
+        ?item p:P2067 ?massStmt .
+        ?massStmt psv:P2067 ?massVal .
+        ?massVal wikibase:quantityAmount ?mass .
+        ?massVal wikibase:quantityUnit ?massUnit .
+      }}
+      OPTIONAL {{
+        ?item p:P2250 ?lifespanStmt .
+        ?lifespanStmt psv:P2250 ?lifespanVal .
+        ?lifespanVal wikibase:quantityAmount ?lifespan .
+        ?lifespanVal wikibase:quantityUnit ?lifespanUnit .
+      }}
+      OPTIONAL {{ ?item wdt:P1034 ?diet . }}
+      OPTIONAL {{ ?item wdt:P2974 ?habitat . }}
+      OPTIONAL {{ ?item wdt:P5204 ?activity . }}
+
+      SERVICE wikibase:label {{ bd:serviceParam wikibase:language "en" . }}
+    }}
+    LIMIT 5
+    """
+
+    resp = requests.get(SPARQL_URL, params={"query": query, "format": "json"}, headers=HEADERS)
+    resp.raise_for_status()
+    bindings = resp.json()["results"]["bindings"]
+
+    if not bindings:
+        print(f"  No Wikidata results for '{scientific_name}'")
+        return {}
+
+    return _extract_traits(bindings)
+
+
+def _extract_traits(bindings: list[dict]) -> dict:
+    result = {
+        "size_range": None,
+        "weight_range": None,
+        "lifespan": None,
+        "diet": None,
+        "activity_period": None,
+        "habitat_type": None,
+    }
+
+    diets, habitats, activities = set(), set(), set()
+    masses, lifespans = [], []
+
+    for row in bindings:
+        if "mass" in row and "massUnitLabel" in row:
+            mass = float(row["mass"]["value"])
+            unit = row["massUnitLabel"]["value"]
+            masses.append(f"{mass:g} {unit}")
+
+        if "lifespan" in row and "lifespanUnitLabel" in row:
+            ls = float(row["lifespan"]["value"])
+            unit = row["lifespanUnitLabel"]["value"]
+            lifespans.append(f"{ls:g} {unit}")
+
+        if "dietLabel" in row:
+            diets.add(row["dietLabel"]["value"])
+
+        if "habitatLabel" in row:
+            habitats.add(row["habitatLabel"]["value"])
+
+        if "activityLabel" in row:
+            activities.add(row["activityLabel"]["value"])
+
+    if masses:
+        result["weight_range"] = " / ".join(sorted(set(masses)))
+    if lifespans:
+        result["lifespan"] = " / ".join(sorted(set(lifespans)))
+    if diets:
+        result["diet"] = ", ".join(sorted(diets))
+    if habitats:
+        result["habitat_type"] = ", ".join(sorted(habitats))
+    if activities:
+        result["activity_period"] = ", ".join(sorted(activities))
+
+    return result
+
+
+if __name__ == "__main__":
+    test_species = "Thamnophis sirtalis"
+    print(f"Fetching Wikidata traits for '{test_species}'...")
+    traits = fetch_wikidata_traits(test_species)
+    for key, value in traits.items():
+        print(f"  {key}: {value}")