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Update app.py
Browse files
app.py
CHANGED
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#
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import base64
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import glob
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import hashlib
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@@ -26,7 +29,9 @@ import requests
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import numpy as np
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from urllib.parse import quote
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#
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external_links = [
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{"title": "MergeKit Official GitHub", "url": "https://github.com/arcee-ai/MergeKit", "emoji": "π»"},
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{"title": "MergeKit arXiv Paper", "url": "https://arxiv.org/abs/xxxx.xxxxx", "emoji": "π"},
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@@ -40,7 +45,9 @@ external_links = [
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{"title": "arcee.ai Official Website", "url": "https://arcee.ai", "emoji": "π"},
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]
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#
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Site_Name = 'π GitCosmos'
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title = "π GitCosmos"
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helpURL = 'https://huggingface.co/awacke1'
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@@ -66,7 +73,9 @@ Key = os.environ.get("Key")
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LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
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CosmosDBUrl = 'https://portal.azure.com/#@AaronCWackergmail.onmicrosoft.com/resource/subscriptions/003fba60-5b3f-48f4-ab36-3ed11bc40816/resourceGroups/datasets/providers/Microsoft.DocumentDB/databaseAccounts/acae-afd/dataExplorer'
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def get_download_link(file_path):
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with open(file_path, "rb") as file:
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contents = file.read()
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@@ -140,7 +149,9 @@ def preprocess_text(text):
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text = re.sub(r'[^\x00-\x7F]+', '', text)
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return text.strip()
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#
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def get_databases(client):
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return [db['id'] for db in client.list_databases()]
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@@ -178,7 +189,7 @@ def delete_record(container, record):
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if "delete_log" not in st.session_state:
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st.session_state.delete_log = []
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st.session_state.delete_log.append(f"Attempting to delete document: {json.dumps(record, indent=2)}")
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partition_key_value = doc_id
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st.session_state.delete_log.append(f"Using ID and Partition Key: {partition_key_value}")
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container.delete_item(item=doc_id, partition_key=partition_key_value)
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success_msg = f"Record {doc_id} successfully deleted from Cosmos DB. ποΈ"
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@@ -205,6 +216,7 @@ def save_to_cosmos_db(container, query, response1, response2):
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new_id = f"{timestamp}-{unique_uuid}"
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record = {
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"id": new_id,
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"name": new_id,
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"query": query,
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"response1": response1,
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@@ -242,11 +254,12 @@ def archive_current_container(database_name, container_name, client):
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except Exception as e:
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return f"Archive error: {str(e)} π’"
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def create_new_container(database, container_id, partition_key_path,
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analytical_storage_ttl=None, indexing_policy=None, vector_embedding_policy=None):
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try:
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# Try creating with analytical_storage_ttl if provided.
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if analytical_storage_ttl is not None:
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container = database.create_container(
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id=container_id,
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vector_embedding_policy=vector_embedding_policy
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)
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except exceptions.CosmosHttpResponseError as e:
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# If the error is due to the analytical_storage_ttl property not being valid, try again without it.
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if analytical_storage_ttl is not None and "analyticalStorageTtl" in str(e):
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try:
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container = database.create_container(
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results = list(container.query_items(query=query, enable_cross_partition_query=True))
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return results
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#
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def download_github_repo(url, local_path):
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if os.path.exists(local_path):
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shutil.rmtree(local_path)
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local_repo.git.commit('-m', 'Initial commit')
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origin.push(refspec=f'{current_branch}:{current_branch}')
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def display_saved_files_in_sidebar():
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all_files = sorted([f for f in glob.glob("*.md") if not f.lower().startswith('readme')], reverse=True)
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st.sidebar.markdown("## π Files")
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elif st.session_state.file_view_mode == 'edit':
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display_file_editor(st.session_state.current_file)
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def validate_and_preprocess_image(file_data, target_size=(576, 1024)):
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try:
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st.write("Preprocessing image...")
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if container:
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video_record = {
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"id": generate_unique_id(),
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"type": "generated_video",
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"filename": video_filename,
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"seed": seed if seed is not None else "random",
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except Exception as e:
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st.error(f"Upload error: {str(e)}")
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def main():
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st.markdown("### π GitCosmos - Cosmos & Git Hub")
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if "chat_history" not in st.session_state:
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st.session_state.show_new_container_form = True
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if st.session_state.show_new_container_form:
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with st.sidebar.form("new_container_form"):
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new_container_id = st.text_input("Container ID", value="
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new_partition_key = st.text_input("Partition Key", value="/
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new_analytical = st.checkbox("Enable Analytical Store", value=
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submitted = st.form_submit_button("Create Container")
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if submitted:
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analytical_ttl = -1 if new_analytical else None
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)
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if new_container:
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st.success(f"Container '{new_container_id}' created.")
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st.session_state.show_new_container_form = False
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st.session_state.new_container_created = new_container_id
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st.rerun()
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st.markdown(f"Original ID: {doc.get('id', '')}")
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new_id = st.text_input("New ID", value=generate_unique_id(), key='new_clone_id')
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new_name = st.text_input("New Name", value=f"Clone_{new_id[:8]}", key='new_clone_name')
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new_doc = {'id': new_id, 'name': new_name, **{k: v for k, v in doc.items() if k not in ['id', 'name', '_rid', '_self', '_etag', '_attachments', '_ts']}}
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doc_str = st.text_area("Edit JSON", value=json.dumps(new_doc, indent=2), height=300, key='clone_preview')
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col1, col2 = st.columns(2)
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with col1:
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if st.button("π€ Auto-Gen"):
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auto_doc = {
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"id": generate_unique_id(),
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"name": f"Auto {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
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"content": "Auto-generated record.",
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"timestamp": datetime.now().isoformat()
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new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
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default_doc = {
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"id": new_id,
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"name": "New Doc",
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"content": "",
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"timestamp": datetime.now().isoformat()
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cleaned = preprocess_text(new_doc_str)
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new_doc = json.loads(cleaned)
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new_doc['id'] = new_id
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success, message = insert_record(container, new_doc)
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if success:
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st.success(f"Created {new_doc['id']}")
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shutil.rmtree(local_path)
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else:
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st.error("Missing token or URL πβ")
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update_file_management_section()
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except exceptions.CosmosHttpResponseError as e:
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st.error(f"Cosmos error: {str(e)} π¨")
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# app.py
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# =============================================================================
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# βββββββββββββ IMPORTS βββββββββββββ
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# =============================================================================
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import base64
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import glob
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import hashlib
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import numpy as np
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from urllib.parse import quote
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# =============================================================================
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# βββββββββββββ EXTERNAL HELP LINKS (Always visible in sidebar) βββββββββββββ
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# =============================================================================
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external_links = [
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{"title": "MergeKit Official GitHub", "url": "https://github.com/arcee-ai/MergeKit", "emoji": "π»"},
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{"title": "MergeKit arXiv Paper", "url": "https://arxiv.org/abs/xxxx.xxxxx", "emoji": "π"},
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{"title": "arcee.ai Official Website", "url": "https://arcee.ai", "emoji": "π"},
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]
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# =============================================================================
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# βββββββββββββ APP CONFIGURATION βββββββββββββ
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# =============================================================================
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Site_Name = 'π GitCosmos'
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title = "π GitCosmos"
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helpURL = 'https://huggingface.co/awacke1'
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LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
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CosmosDBUrl = 'https://portal.azure.com/#@AaronCWackergmail.onmicrosoft.com/resource/subscriptions/003fba60-5b3f-48f4-ab36-3ed11bc40816/resourceGroups/datasets/providers/Microsoft.DocumentDB/databaseAccounts/acae-afd/dataExplorer'
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# =============================================================================
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# βββββββββββββ HELPER FUNCTIONS βββββββββββββ
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# =============================================================================
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def get_download_link(file_path):
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with open(file_path, "rb") as file:
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contents = file.read()
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text = re.sub(r'[^\x00-\x7F]+', '', text)
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return text.strip()
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# =============================================================================
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# βββββββββββββ COSMOS DB FUNCTIONS βββββββββββββ
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# =============================================================================
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def get_databases(client):
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return [db['id'] for db in client.list_databases()]
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if "delete_log" not in st.session_state:
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st.session_state.delete_log = []
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st.session_state.delete_log.append(f"Attempting to delete document: {json.dumps(record, indent=2)}")
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partition_key_value = record.get("pk", doc_id)
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st.session_state.delete_log.append(f"Using ID and Partition Key: {partition_key_value}")
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container.delete_item(item=doc_id, partition_key=partition_key_value)
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success_msg = f"Record {doc_id} successfully deleted from Cosmos DB. ποΈ"
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new_id = f"{timestamp}-{unique_uuid}"
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record = {
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"id": new_id,
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"pk": new_id,
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"name": new_id,
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"query": query,
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"response1": response1,
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except Exception as e:
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return f"Archive error: {str(e)} π’"
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# =============================================================================
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# βββββββββββββ ADVANCED COSMOS FUNCTIONS βββββββββββββ
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# =============================================================================
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def create_new_container(database, container_id, partition_key_path,
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analytical_storage_ttl=None, indexing_policy=None, vector_embedding_policy=None):
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try:
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if analytical_storage_ttl is not None:
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container = database.create_container(
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id=container_id,
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vector_embedding_policy=vector_embedding_policy
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)
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except exceptions.CosmosHttpResponseError as e:
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if analytical_storage_ttl is not None and "analyticalStorageTtl" in str(e):
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try:
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container = database.create_container(
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results = list(container.query_items(query=query, enable_cross_partition_query=True))
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return results
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# =============================================================================
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# βββββββββββββ GITHUB FUNCTIONS βββββββββββββ
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# =============================================================================
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def download_github_repo(url, local_path):
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if os.path.exists(local_path):
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shutil.rmtree(local_path)
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local_repo.git.commit('-m', 'Initial commit')
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origin.push(refspec=f'{current_branch}:{current_branch}')
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# =============================================================================
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# βββββββββββββ FILE & MEDIA MANAGEMENT FUNCTIONS βββββββββββββ
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# =============================================================================
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def display_saved_files_in_sidebar():
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all_files = sorted([f for f in glob.glob("*.md") if not f.lower().startswith('readme')], reverse=True)
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st.sidebar.markdown("## π Files")
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elif st.session_state.file_view_mode == 'edit':
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display_file_editor(st.session_state.current_file)
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# =============================================================================
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# βββββββββββββ VIDEO & AUDIO UI FUNCTIONS βββββββββββββ
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# =============================================================================
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def validate_and_preprocess_image(file_data, target_size=(576, 1024)):
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try:
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st.write("Preprocessing image...")
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if container:
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video_record = {
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"id": generate_unique_id(),
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"pk": generate_unique_id(),
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"type": "generated_video",
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"filename": video_filename,
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"seed": seed if seed is not None else "random",
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except Exception as e:
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st.error(f"Upload error: {str(e)}")
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# =============================================================================
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# βββββββββββββ AI SAMPLES SIDEBAR (Processed as a Python List) βββββββββββββ
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# =============================================================================
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def display_ai_samples():
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# Define a list of sample queries
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ai_samples = [
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{
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"name": "FullTextContains",
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"description": "Query using FullTextContains",
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"query": 'SELECT TOP 10 * FROM c WHERE FullTextContains(c.text, "bicycle")'
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},
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{
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"name": "FullTextContainsAll",
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"description": "Query using FullTextContainsAll",
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"query": 'SELECT TOP 10 * FROM c WHERE FullTextContainsAll(c.text, "red", "bicycle")'
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},
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{
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"name": "FullTextContainsAny",
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"description": "Query using FullTextContainsAny",
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"query": 'SELECT TOP 10 * FROM c WHERE FullTextContains(c.text, "red") AND FullTextContainsAny(c.text, "bicycle", "skateboard")'
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},
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{
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"name": "FullTextScore",
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"description": "Query using FullTextScore (order by relevance)",
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"query": 'SELECT TOP 10 * FROM c ORDER BY RANK FullTextScore(c.text, ["bicycle", "mountain"])'
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},
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{
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"name": "Vector Search with Score",
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"description": "Example vector search snippet",
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"query": 'results = vector_search.similarity_search_with_score(query="Your query", k=5)\nfor result, score in results:\n print(result.json(), score)'
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"name": "Vector Search with Filtering",
|
| 638 |
+
"description": "Example vector search with a filter",
|
| 639 |
+
"query": 'pre_filter = {"conditions": [{"property": "metadata.page", "operator": "$eq", "value": 0}]}\nresults = vector_search.similarity_search_with_score(query="Your query", k=5, pre_filter=pre_filter)'
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"name": "Hybrid Search",
|
| 643 |
+
"description": "Example hybrid search snippet",
|
| 644 |
+
"query": 'results = vector_search.similarity_search_with_score(query="Your query", k=5, query_type=CosmosDBQueryType.HYBRID)'
|
| 645 |
+
}
|
| 646 |
+
]
|
| 647 |
+
st.sidebar.markdown("### π€ AI Samples")
|
| 648 |
+
st.sidebar.info("π Get started with our AI samples! Time free access to get started today.")
|
| 649 |
+
# Provide a dropdown to select one sample
|
| 650 |
+
sample_names = [sample["name"] for sample in ai_samples]
|
| 651 |
+
selected_sample_name = st.sidebar.selectbox("Select an AI Sample", sample_names)
|
| 652 |
+
selected_sample = next((s for s in ai_samples if s["name"] == selected_sample_name), None)
|
| 653 |
+
if selected_sample:
|
| 654 |
+
st.sidebar.markdown(f"**{selected_sample['name']}**: {selected_sample['description']}")
|
| 655 |
+
# Use language 'sql' for queries containing FullText, else python
|
| 656 |
+
lang = "sql" if "FullText" in selected_sample["name"] else "python"
|
| 657 |
+
st.sidebar.code(selected_sample["query"], language=lang)
|
| 658 |
+
|
| 659 |
+
# =============================================================================
|
| 660 |
+
# βββββββββββββ MAIN FUNCTION βββββββββββββ
|
| 661 |
+
# =============================================================================
|
| 662 |
def main():
|
| 663 |
st.markdown("### π GitCosmos - Cosmos & Git Hub")
|
| 664 |
if "chat_history" not in st.session_state:
|
|
|
|
| 694 |
st.session_state.show_new_container_form = True
|
| 695 |
if st.session_state.show_new_container_form:
|
| 696 |
with st.sidebar.form("new_container_form"):
|
| 697 |
+
new_container_id = st.text_input("Container ID", value="aiml-container")
|
| 698 |
+
new_partition_key = st.text_input("Partition Key", value="/pk")
|
| 699 |
+
new_analytical = st.checkbox("Enable Analytical Store", value=True)
|
| 700 |
submitted = st.form_submit_button("Create Container")
|
| 701 |
if submitted:
|
| 702 |
analytical_ttl = -1 if new_analytical else None
|
|
|
|
| 708 |
)
|
| 709 |
if new_container:
|
| 710 |
st.success(f"Container '{new_container_id}' created.")
|
| 711 |
+
# Insert a default templated item into the new container
|
| 712 |
+
default_id = generate_unique_id()
|
| 713 |
+
default_item = {
|
| 714 |
+
"id": default_id,
|
| 715 |
+
"pk": default_id,
|
| 716 |
+
"name": "Default Image Prompt",
|
| 717 |
+
"prompt": "Enter your image prompt here",
|
| 718 |
+
"timestamp": datetime.now().isoformat(),
|
| 719 |
+
"type": "image_prompt"
|
| 720 |
+
}
|
| 721 |
+
insert_success, insert_message = insert_record(new_container, default_item)
|
| 722 |
+
if insert_success:
|
| 723 |
+
st.info("Default templated item created in new container.")
|
| 724 |
+
else:
|
| 725 |
+
st.error(f"Default item insertion error: {insert_message}")
|
| 726 |
st.session_state.show_new_container_form = False
|
| 727 |
st.session_state.new_container_created = new_container_id
|
| 728 |
st.rerun()
|
|
|
|
| 818 |
st.markdown(f"Original ID: {doc.get('id', '')}")
|
| 819 |
new_id = st.text_input("New ID", value=generate_unique_id(), key='new_clone_id')
|
| 820 |
new_name = st.text_input("New Name", value=f"Clone_{new_id[:8]}", key='new_clone_name')
|
| 821 |
+
new_doc = {'id': new_id, 'pk': new_id, 'name': new_name, **{k: v for k, v in doc.items() if k not in ['id', 'name', 'pk', '_rid', '_self', '_etag', '_attachments', '_ts']}}
|
| 822 |
doc_str = st.text_area("Edit JSON", value=json.dumps(new_doc, indent=2), height=300, key='clone_preview')
|
| 823 |
col1, col2 = st.columns(2)
|
| 824 |
with col1:
|
|
|
|
| 851 |
if st.button("π€ Auto-Gen"):
|
| 852 |
auto_doc = {
|
| 853 |
"id": generate_unique_id(),
|
| 854 |
+
"pk": generate_unique_id(),
|
| 855 |
"name": f"Auto {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
|
| 856 |
"content": "Auto-generated record.",
|
| 857 |
"timestamp": datetime.now().isoformat()
|
|
|
|
| 866 |
new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
|
| 867 |
default_doc = {
|
| 868 |
"id": new_id,
|
| 869 |
+
"pk": new_id,
|
| 870 |
"name": "New Doc",
|
| 871 |
"content": "",
|
| 872 |
"timestamp": datetime.now().isoformat()
|
|
|
|
| 877 |
cleaned = preprocess_text(new_doc_str)
|
| 878 |
new_doc = json.loads(cleaned)
|
| 879 |
new_doc['id'] = new_id
|
| 880 |
+
new_doc['pk'] = new_id
|
| 881 |
success, message = insert_record(container, new_doc)
|
| 882 |
if success:
|
| 883 |
st.success(f"Created {new_doc['id']}")
|
|
|
|
| 935 |
shutil.rmtree(local_path)
|
| 936 |
else:
|
| 937 |
st.error("Missing token or URL πβ")
|
| 938 |
+
# Display AI Samples sidebar UI (processed from Python list)
|
| 939 |
+
display_ai_samples()
|
| 940 |
update_file_management_section()
|
| 941 |
except exceptions.CosmosHttpResponseError as e:
|
| 942 |
st.error(f"Cosmos error: {str(e)} π¨")
|