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Update pages/_common.py
Browse files- pages/_common.py +168 -206
pages/_common.py
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# ============================================================
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# _common.py — Hugging Face SAFE Earth Engine integration
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# ============================================================
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import os
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import json
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import ee
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import geemap
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import solara
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from typing import Optional, Tuple
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# ============================================================
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# 1. Global flags & placeholders (SAFE at import time)
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# ============================================================
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PROJECT_ID = "scenic-sunspot-485920-j6"
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_EE_INITIALIZED = False
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_EE_INIT_ERROR: Optional[str] = None
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M_AREA = None
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IUCN_RANGE = None
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OCCURRENCES = None
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# ============================================================
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#
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# ============================================================
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def
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Initialize Earth Engine using a service account JSON stored
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in a Hugging Face secret. Never runs at import time.
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"""
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global _EE_INITIALIZED, _EE_INIT_ERROR
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if _EE_INITIALIZED:
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return
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ee_token = os.environ.get(token_name)
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if not ee_token:
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_EE_INIT_ERROR = f"Missing Hugging Face secret: {token_name}"
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return
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try:
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stored = json.loads(ee_token)
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except Exception as e:
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_EE_INIT_ERROR = "EARTHENGINE_TOKEN is not valid JSON"
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return
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try:
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credentials = ee.ServiceAccountCredentials(
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stored["client_email"],
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key_data=ee_token,
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)
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ee.Initialize(
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credentials=credentials,
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project=stored["project_id"],
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)
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_EE_INITIALIZED = True
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except Exception as e:
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_EE_INIT_ERROR = str(e)
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# ============================================================
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# 3. Lazy asset loader
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# ============================================================
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def ensure_assets_loaded():
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"""
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Loads Earth Engine assets on first use.
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Safe to call multiple times.
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"""
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global M_AREA, IUCN_RANGE, OCCURRENCES
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if M_AREA is not None:
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return
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ee_initialize()
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if not _EE_INITIALIZED:
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return
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try:
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)
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IUCN_RANGE = ee.FeatureCollection(
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"projects/scenic-sunspot-485920-j6/assets/LAmericaResidentReview/Acrobatornis_fonsecai_iucnrange"
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)
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OCCURRENCES = ee.FeatureCollection(
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"projects/scenic-sunspot-485920-j6/assets/LAmericaResidentReview/Acrobatornis_fonsecai_occurrence"
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)
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except Exception as e:
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_EE_INIT_ERROR = f"Asset load failed: {e}"
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M_AREA = IUCN_RANGE = OCCURRENCES = None
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SPECIES = "Acrobatornis fonsecai"
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@@ -113,185 +57,203 @@ THRESHOLD_IMAGES = {
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"sensit": "projects/scenic-sunspot-485920-j6/assets/LAmericaResidentReview/Acrobatornis_fonsecai_sensit",
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}
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# ============================================================
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#
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# ============================================================
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def compute_species_view(
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fallback_center=(-15, -50),
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fallback_zoom=4,
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) -> Tuple[Tuple[float, float], int]:
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ensure_assets_loaded()
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if M_AREA is None:
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return fallback_center, fallback_zoom
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try:
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coords =
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lons = [p[0] for p in coords]
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lats = [p[1] for p in coords]
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center = (sum(lats) / len(lats), sum(lons) / len(lons))
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span = max(max(lons) - min(lons), max(lats) - min(lats))
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if span > 60:
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elif span >
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elif span >
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elif span > 8:
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zoom = 6
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elif span > 4:
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zoom = 7
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else:
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zoom = 8
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return center, zoom
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except Exception:
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return fallback_center, fallback_zoom
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# ============================================================
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#
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# ============================================================
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researcher_name = solara.reactive("Guest Researcher")
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zoom = solara.reactive(
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show_raster = solara.reactive(True)
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show_absence = solara.reactive(False)
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show_m_area = solara.reactive(True)
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show_iucn = solara.reactive(True)
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show_occurrences = solara.reactive(True)
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edits = solara.reactive([])
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# ============================================================
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#
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# ============================================================
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def apply_edits_logic(img, points, range_polys, edits_list):
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if not edits_list:
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return
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for edit in edits_list:
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geom = edit.get(
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if not geom:
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if op == "remove":
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elif op == "add":
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elif layer == "IUCN Range"
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if op == "add":
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#
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# ============================================================
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def create_threshold_map(threshold, height="350px", draw_control=False):
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ensure_assets_loaded()
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m = geemap.Map(
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center=
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zoom=
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add_google_map=False,
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draw_control=draw_control,
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toolbar_control=False,
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layer_control=True,
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zoom_control=False,
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inspector_control=False,
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search_control=False,
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scale_control=False,
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attribution_control=False,
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height=height,
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)
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m.addLayer(
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None,
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{},
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f"Earth Engine error: {_EE_INIT_ERROR}",
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)
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return m
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base_img = None
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if threshold in THRESHOLD_IMAGES:
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try:
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base_img = ee.Image(THRESHOLD_IMAGES[threshold])
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except Exception:
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pass
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m.addLayer(pts, {"color": "#00BFFF"}, "Occurrences")
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return m
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# ============================================================
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# 9. Solara component
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# ============================================================
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@solara.component
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def LinkedMap(threshold, height="350px"):
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m = solara.use_memo(
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lambda: create_threshold_map(threshold, height),
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[threshold, edits.value]
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)
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solara.display(
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m,
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zoom=zoom.value,
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import os
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import json
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import ee
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import geemap
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import solara
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from google.oauth2 import service_account
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# ============================================================
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# 1. Initialization & Assets
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# ============================================================
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def get_env_var(key: str):
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return os.environ.get(key)
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def ee_initialize(token_name="EARTHENGINE_TOKEN", project=None, **kwargs):
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# Skip if already initialized
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if ee.data._get_state().credentials is not None:
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return
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ee_token = get_env_var(token_name)
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if ee_token is not None:
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try:
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# Parse the Service Account JSON key from the environment variable
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sa_info = json.loads(ee_token)
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# Generate credentials from the service account dictionary
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credentials = service_account.Credentials.from_service_account_info(
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sa_info,
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scopes=['https://www.googleapis.com/auth/earthengine']
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)
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# Initialize Earth Engine with the new credentials
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ee.Initialize(credentials=credentials, project=project, **kwargs)
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print("Earth Engine initialized successfully using Service Account.")
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return
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except Exception as e:
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print(f"Failed to initialize with Service Account: {e}")
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pass
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# Fallback to default initialization
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try:
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ee.Initialize(project=project, **kwargs)
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except Exception:
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print("Earth Engine failed to initialize. Please check EARTHENGINE_TOKEN.")
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try:
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ee_initialize(project="scenic-sunspot-485920-j6")
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except Exception as e:
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print(f"EE Init Error: {e}")
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SPECIES = "Acrobatornis fonsecai"
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"sensit": "projects/scenic-sunspot-485920-j6/assets/LAmericaResidentReview/Acrobatornis_fonsecai_sensit",
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}
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THRESHOLD_TITLES = {
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"mtp": "Minimum Training Presence",
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"tss": "True Skill Statistic",
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"p10": "10th Percentile",
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"sensit": "Sensitivity-Specificity Equality"
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}
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# Assets
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try:
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M_AREA = ee.FeatureCollection("projects/scenic-sunspot-485920-j6/assets/LAmericaResidentReview/Acrobatornis_fonsecai_M")
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IUCN_RANGE = ee.FeatureCollection("projects/scenic-sunspot-485920-j6/assets/LAmericaResidentReview/Acrobatornis_fonsecai_iucnrange")
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OCCURRENCES = ee.FeatureCollection("projects/scenic-sunspot-485920-j6/assets/LAmericaResidentReview/Acrobatornis_fonsecai_occurrence")
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except Exception:
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M_AREA = ee.FeatureCollection([])
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IUCN_RANGE = ee.FeatureCollection([])
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OCCURRENCES = ee.FeatureCollection([])
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# ============================================================
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# 2. View Computation
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# ============================================================
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def compute_species_view(fc, fallback_center=(-15, -50), fallback_zoom=4):
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try:
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coords = fc.geometry().bounds().coordinates().getInfo()[0]
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lons = [p[0] for p in coords]
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lats = [p[1] for p in coords]
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center = (sum(lats) / len(lats), sum(lons) / len(lons))
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span = max(max(lons) - min(lons), max(lats) - min(lats))
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if span > 60: zoom = 3
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elif span > 30: zoom = 4
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elif span > 15: zoom = 5
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elif span > 8: zoom = 6
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elif span > 4: zoom = 7
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else: zoom = 8
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return center, zoom
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except Exception:
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| 96 |
return fallback_center, fallback_zoom
|
| 97 |
|
| 98 |
+
SPECIES_CENTER, SPECIES_ZOOM = compute_species_view(M_AREA)
|
| 99 |
|
| 100 |
# ============================================================
|
| 101 |
+
# 3. Global Shared State
|
| 102 |
# ============================================================
|
| 103 |
|
| 104 |
+
# --- Session / User Metadata ---
|
| 105 |
researcher_name = solara.reactive("Guest Researcher")
|
| 106 |
+
species_list = ["Acrobatornis fonsecai"]
|
| 107 |
+
selected_species = solara.reactive("Acrobatornis fonsecai")
|
| 108 |
|
| 109 |
+
# --- Map State ---
|
| 110 |
+
selected_threshold = solara.reactive(None)
|
| 111 |
+
zoom = solara.reactive(SPECIES_ZOOM)
|
| 112 |
+
center = solara.reactive(SPECIES_CENTER)
|
| 113 |
|
| 114 |
+
# --- Layer Visibility ---
|
| 115 |
show_raster = solara.reactive(True)
|
| 116 |
show_absence = solara.reactive(False)
|
| 117 |
show_m_area = solara.reactive(True)
|
| 118 |
show_iucn = solara.reactive(True)
|
| 119 |
show_occurrences = solara.reactive(True)
|
| 120 |
|
| 121 |
+
# --- Editing State ---
|
| 122 |
edits = solara.reactive([])
|
| 123 |
|
|
|
|
| 124 |
# ============================================================
|
| 125 |
+
# 4. Map Factory & Logic
|
| 126 |
# ============================================================
|
| 127 |
|
| 128 |
def apply_edits_logic(img, points, range_polys, edits_list):
|
| 129 |
+
"""
|
| 130 |
+
Applies a list of geometric edits to the image, points, and range polygons.
|
| 131 |
+
"""
|
| 132 |
+
modified_img = img
|
| 133 |
+
modified_points = points
|
| 134 |
+
modified_range = range_polys
|
| 135 |
+
|
| 136 |
if not edits_list:
|
| 137 |
+
return modified_img, modified_points, modified_range
|
| 138 |
|
| 139 |
for edit in edits_list:
|
| 140 |
+
geom = edit.get('geometry')
|
| 141 |
+
if not geom: continue
|
| 142 |
+
|
| 143 |
+
layer = edit.get('layer')
|
| 144 |
+
op = edit.get('type')
|
| 145 |
+
|
| 146 |
+
if layer == "Predicted Presence":
|
| 147 |
+
# Raster editing
|
| 148 |
+
if modified_img:
|
| 149 |
+
mask = ee.Image.constant(1).clip(geom)
|
| 150 |
+
if op == "add":
|
| 151 |
+
# Mark as 1 (Presence)
|
| 152 |
+
modified_img = modified_img.where(mask, 1)
|
| 153 |
+
elif op == "remove":
|
| 154 |
+
# Mark as 0 (Absence)
|
| 155 |
+
modified_img = modified_img.where(mask, 0)
|
| 156 |
+
|
| 157 |
+
elif layer == "Occurrences":
|
| 158 |
if op == "remove":
|
| 159 |
+
if modified_points:
|
| 160 |
+
modified_points = modified_points.filter(ee.Filter.bounds(geom).Not())
|
| 161 |
elif op == "add":
|
| 162 |
+
# Add new point(s)
|
| 163 |
+
if modified_points:
|
| 164 |
+
modified_points = modified_points.merge(ee.FeatureCollection([ee.Feature(geom)]))
|
| 165 |
+
else:
|
| 166 |
+
modified_points = ee.FeatureCollection([ee.Feature(geom)])
|
| 167 |
|
| 168 |
+
elif layer == "IUCN Range":
|
| 169 |
if op == "add":
|
| 170 |
+
# Add new range polygon
|
| 171 |
+
if modified_range:
|
| 172 |
+
modified_range = modified_range.merge(ee.FeatureCollection([ee.Feature(geom)]))
|
| 173 |
+
else:
|
| 174 |
+
modified_range = ee.FeatureCollection([ee.Feature(geom)])
|
| 175 |
+
|
| 176 |
+
return modified_img, modified_points, modified_range
|
| 177 |
|
| 178 |
|
| 179 |
+
def create_threshold_map(threshold: str, height="350px", draw_control=False, apply_edits_list=None) -> geemap.Map:
|
| 180 |
+
# Explicitly disable optional controls to prevent OOM
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 181 |
m = geemap.Map(
|
| 182 |
+
center=SPECIES_CENTER,
|
| 183 |
+
zoom=SPECIES_ZOOM,
|
| 184 |
add_google_map=False,
|
| 185 |
draw_control=draw_control,
|
| 186 |
toolbar_control=False,
|
| 187 |
layer_control=True,
|
| 188 |
zoom_control=False,
|
| 189 |
+
inspector_control=False,
|
| 190 |
search_control=False,
|
| 191 |
scale_control=False,
|
| 192 |
attribution_control=False,
|
| 193 |
+
height=height,
|
| 194 |
)
|
| 195 |
|
| 196 |
+
# Base assets
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 197 |
base_img = None
|
| 198 |
+
if threshold and threshold in THRESHOLD_IMAGES:
|
| 199 |
try:
|
| 200 |
base_img = ee.Image(THRESHOLD_IMAGES[threshold])
|
| 201 |
except Exception:
|
| 202 |
pass
|
| 203 |
+
|
| 204 |
+
base_points = OCCURRENCES
|
| 205 |
+
base_range = IUCN_RANGE
|
| 206 |
+
|
| 207 |
+
# Apply Edits
|
| 208 |
+
final_img, final_points, final_range = apply_edits_logic(base_img, base_points, base_range, apply_edits_list)
|
| 209 |
+
|
| 210 |
+
# --- Layer Adding Order (Bottom to Top) ---
|
| 211 |
+
|
| 212 |
+
# 1. Raster (Bottom)
|
| 213 |
+
if final_img:
|
| 214 |
+
# Presence (1) -> Black
|
| 215 |
+
presence_layer = final_img.updateMask(final_img.eq(1))
|
| 216 |
+
m.addLayer(presence_layer, {"palette": ["000000"]}, "Predicted Presence (1)", True, 1.0)
|
| 217 |
+
|
| 218 |
+
# Absence (0) -> White
|
| 219 |
+
absence_layer = final_img.updateMask(final_img.eq(0))
|
| 220 |
+
m.addLayer(absence_layer, {"palette": ["ffffff"]}, "Predicted Absence (0)", False, 1.0)
|
| 221 |
+
|
| 222 |
+
# 2. Vectors
|
| 223 |
+
m.addLayer(M_AREA.style(color="#2b8cbe", fillColor="#2b8cbe44", width=2), {}, "Accessible Area")
|
| 224 |
+
|
| 225 |
+
# IUCN (Hollow) - Modified range
|
| 226 |
+
if final_range:
|
| 227 |
+
m.addLayer(final_range.style(color="red", fillColor="00000000", width=2), {}, "IUCN Range")
|
| 228 |
+
|
| 229 |
+
# 3. Occurrences (Top)
|
| 230 |
+
if final_points:
|
| 231 |
+
# Use bright Deep Sky Blue (#00BFFF) for visibility against black raster
|
| 232 |
+
m.addLayer(final_points, {"color": "#00BFFF"}, "Occurrences")
|
|
|
|
| 233 |
|
| 234 |
return m
|
| 235 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 236 |
@solara.component
|
| 237 |
def LinkedMap(threshold, height="350px"):
|
| 238 |
m = solara.use_memo(
|
| 239 |
+
lambda: create_threshold_map(threshold, height, draw_control=False, apply_edits_list=edits.value),
|
| 240 |
+
[threshold, edits.value]
|
| 241 |
)
|
| 242 |
|
| 243 |
+
def update_layers():
|
| 244 |
+
if not m: return
|
| 245 |
+
def set_visible(name, visible):
|
| 246 |
+
for layer in m.layers:
|
| 247 |
+
if name in layer.name: layer.visible = visible
|
| 248 |
+
|
| 249 |
+
set_visible("Predicted Presence (1)", show_raster.value)
|
| 250 |
+
set_visible("Predicted Absence (0)", show_raster.value and show_absence.value)
|
| 251 |
+
set_visible("Accessible Area", show_m_area.value)
|
| 252 |
+
set_visible("IUCN Range", show_iucn.value)
|
| 253 |
+
set_visible("Occurrences", show_occurrences.value)
|
| 254 |
+
|
| 255 |
+
solara.use_effect(update_layers, [show_raster.value, show_absence.value, show_m_area.value, show_iucn.value, show_occurrences.value])
|
| 256 |
+
|
| 257 |
solara.display(
|
| 258 |
m,
|
| 259 |
zoom=zoom.value,
|