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353cfb6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 | import os
import sys
import warnings
from dotenv import load_dotenv
from appwrite.client import Client
from appwrite.services.databases import Databases
# Suppress deprecation warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
# Load environment variables
load_dotenv()
# Configuration
APPWRITE_ENDPOINT = os.getenv("APPWRITE_ENDPOINT", "https://cloud.appwrite.io/v1")
APPWRITE_PROJECT_ID = os.getenv("APPWRITE_PROJECT_ID")
APPWRITE_API_KEY = os.getenv("APPWRITE_API_KEY")
APPWRITE_DATABASE_ID = os.getenv("APPWRITE_DATABASE_ID")
RESEARCH_COLLECTION_ID = os.getenv("APPWRITE_RESEARCH_COLLECTION_ID", "69845c19002c864d4d3f")
if not all([APPWRITE_ENDPOINT, APPWRITE_PROJECT_ID, APPWRITE_API_KEY, APPWRITE_DATABASE_ID]):
print("❌ Missing environment variables. Please check .env file.")
sys.exit(1)
# Initialize Appwrite Client
client = Client()
client.set_endpoint(APPWRITE_ENDPOINT)
client.set_project(APPWRITE_PROJECT_ID)
client.set_key(APPWRITE_API_KEY)
databases = Databases(client)
def init_research_schema():
print(f"🔬 Initializing Schema for Collection: {RESEARCH_COLLECTION_ID}")
# 1. Verify Collection Exists
try:
databases.get_collection(APPWRITE_DATABASE_ID, RESEARCH_COLLECTION_ID)
print("✅ Collection exists.")
except Exception as e:
print(f"❌ Collection not found: {e}")
return
# 2. Define Required Attributes
required_attributes = [
{"key": "paper_id", "type": "string", "size": 255, "required": True},
{"key": "title", "type": "string", "size": 500, "required": True},
{"key": "summary", "type": "string", "size": 5000, "required": False}, # Abstract
{"key": "authors", "type": "string", "size": 5000, "required": False},
{"key": "published_at", "type": "datetime", "required": True},
{"key": "pdf_url", "type": "url", "required": True},
{"key": "category", "type": "string", "size": 255, "required": True}, # Internal ID (research-ai)
{"key": "sub_category", "type": "string", "size": 255, "required": False}, # New strict sub-category
{"key": "original_category", "type": "string", "size": 255, "required": True}, # ArXiv ID (cs.AI)
{"key": "likes", "type": "integer", "required": False, "default": 0},
{"key": "dislike", "type": "integer", "required": False, "default": 0}, # Note: 'dislike' singular to match news
{"key": "views", "type": "integer", "required": False, "default": 0},
]
# 3. Check and Create Attributes
import time
try:
attrs = databases.list_attributes(APPWRITE_DATABASE_ID, RESEARCH_COLLECTION_ID)
existing_attributes = {attr['key']: attr for attr in attrs['attributes']}
existing_keys = list(existing_attributes.keys())
print(f"Existing Attributes: {existing_keys}")
for attr in required_attributes:
key = attr['key']
if key not in existing_keys:
print(f"⚙️ Creating attribute: {key}...")
try:
if attr['type'] == "string":
databases.create_string_attribute(
database_id=APPWRITE_DATABASE_ID,
collection_id=RESEARCH_COLLECTION_ID,
key=key,
size=attr['size'],
required=attr['required'],
default=attr.get('default')
)
elif attr['type'] == "datetime":
databases.create_datetime_attribute(
database_id=APPWRITE_DATABASE_ID,
collection_id=RESEARCH_COLLECTION_ID,
key=key,
required=attr['required'],
default=attr.get('default')
)
elif attr['type'] == "url":
databases.create_url_attribute(
database_id=APPWRITE_DATABASE_ID,
collection_id=RESEARCH_COLLECTION_ID,
key=key,
required=attr['required'],
default=attr.get('default')
)
elif attr['type'] == "integer":
databases.create_integer_attribute(
database_id=APPWRITE_DATABASE_ID,
collection_id=RESEARCH_COLLECTION_ID,
key=key,
required=attr['required'],
min=0,
max=None,
default=attr.get('default')
)
print(f" ✅ Request sent for: {key}")
except Exception as attr_error:
print(f" ❌ Failed to create {key}: {attr_error}")
else:
print(f" 🔹 Exists: {key}")
# 3.5 WAIT FOR ATTRIBUTES TO BE AVAILABLE
print("\n⏳ Waiting for attributes to become 'available'...")
pending_attrs = [attr['key'] for attr in required_attributes]
max_retries = 30 # 30 * 2 = 60 seconds
for key in pending_attrs:
for attempt in range(max_retries):
try:
# Generic get_attribute doesn't exist mainly, need typed check or list loop
# robust way: list all and check specific
curr_attrs = databases.list_attributes(APPWRITE_DATABASE_ID, RESEARCH_COLLECTION_ID)['attributes']
target = next((a for a in curr_attrs if a['key'] == key), None)
if target and target['status'] == 'available':
print(f" ✅ {key} is available.")
break
elif target and target['status'] == 'failed':
print(f" ❌ {key} creation FAILED in Appwrite.")
break
else:
if attempt % 5 == 0:
print(f" ... waiting for {key} (attempt {attempt+1}/{max_retries})")
time.sleep(2)
except Exception as e:
print(f"Error checking status for {key}: {e}")
time.sleep(2)
else:
print(f" ⚠️ Timeout waiting for {key} to be available.")
# 4. Create Index on paper_id (if not exists)
# Only try to create index if paper_id is available
print("\n⚙️ Checking/Creating index on paper_id...")
try:
databases.create_index(
database_id=APPWRITE_DATABASE_ID,
collection_id=RESEARCH_COLLECTION_ID,
key="unique_paper_id",
type="unique",
attributes=["paper_id"]
)
print(" ✅ Index created.")
except Exception as e:
# If error contains "already exists" or 409, it's fine
if "already exists" in str(e) or "409" in str(e):
print(" 🔹 Index already exists.")
elif "attribute not found" in str(e).lower() or "processing" in str(e).lower():
print(f" ❌ Index creation failed: Attributes still processing or missing. ({e})")
else:
print(f" ⚠️ Could not create index: {e}")
except Exception as e:
print(f"❌ Error during schema initialization: {e}")
if __name__ == "__main__":
init_research_schema()
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