Utils/pdf

utils/pdf/Native Plants pdf Script.py

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+# # Native Plant pdf Update Script
+
+# ## Import Statements
+
+import pandas as pd
+import re
+import pdfplumber
+import requests
+import itertools
+import warnings
+
+
+pdf_path = "ERA-Vendor-Table-FINAL-low-res-2kfekyd.pdf"
+warnings.filterwarnings("ignore", module="pdfplumber")
+
+#Use pdfplumber to extract text from all pages
+all_text=""
+with pdfplumber.open(pdf_path) as pdf:
+    for page in pdf.pages[:200]:
+        all_text += page.extract_text() + "\n"
+
+# Extract structured rows using a regular pattern
+
+lines = all_text.splitlines()       
+structured_rows = []
+
+# Skip the header and explanatory text
+
+for line in lines:
+    match = re.match(r"^([A-Z][a-z]+ [a-z]+)\s+([A-Z]+)\s+(.+?)\s+([A-Za-z\s]+)\s+([A-Z]{2})\s+(https?://\S+)", line)
+    if match:
+        structured_rows.append({
+            "Scientific Name": match.group(1),
+            "USDA Symbol": match.group(2),
+            "Company": match.group(3),
+            "City": match.group(4).strip(),
+            "State": match.group(5),
+            "Website": match.group(6)
+        })
+
+
+
+#Extract unique scientific names to use in API calls
+unique_scientific_names = sorted(set(row["Scientific Name"] for row in structured_rows))
+
+# Show a sample list of names for query
+unique_scientific_names[:100]
+
+
+# API Query Functions
+API_KEY = "" #add API Key
+BASE_URL = "http://app.plantagents.org"
+
+
+headers ={
+"Authorization": f"Bearer {API_KEY}"
+}
+
+def find_plant_by_name(plant_name):
+    url = f"{BASE_URL}/Plant/FindByName"
+    params = {"plantName": plant_name}
+    response = requests.get(url, headers=headers,params=params)
+    print("Request URL:", response.url)
+    print("Status Code:", response.status_code)
+    if response.status_code == 401:
+        print("X Authorization error: Check your token format.")
+    response.raise_for_status()
+    return response.json()
+
+
+def find_vendors_for_plant(plant_name, zip_code="32806", radius=500, limit=50):
+    url = f"{BASE_URL}/Plant/FindVendorsForPlantName"
+
+    params = {
+        "plantName": plant_name,
+        "zipCode": zip_code,
+        "radius": radius,
+        "limit": limit
+    }
+
+    try:
+        response = requests.get(url, headers=headers, params=params)
+        print("Vendor Request URL:", response.url)
+        print("Status Code:", response.status_code)
+        print("Response Text:", response.text[:100])
+        response.raise_for_status()
+        return response.json()
+    except requests.exceptions.HTTPError as e:
+        print(f"Vendor error for '{plant_name}':", e)
+        return[]
+
+
+
+# Get the common names
+plant_data = []
+vendor_data = []
+
+for name in unique_scientific_names:
+    plant_resp = find_plant_by_name(name)
+    if not plant_resp:
+        continue
+
+    plant = plant_resp[0]
+    common_name = plant.get("commonName")
+    symbol = plant.get("symbol")
+    plant_id = plant.get("id")
+
+    vendors = find_vendors_for_plant(name)
+    for v in vendors:
+        vendor_data.append({
+            "Scientific Name": name,
+            "Common Name": common_name,
+            "USDA Symbol": symbol,
+            "Company": v.get("storeName"),
+            "Address": v.get("address"),
+            "State": v.get("state"),
+            "Website": v.get("storeUrl"),
+            "All Native?": v.get("allNative")
+        })
+
+# Convert to DataFrame
+df = pd.DataFrame(vendor_data)
+df.to_csv("Updated_vendor_list.csv", index=False)