Python Sample1 is a Logseq Python code block that demonstrates the Logseq Plugin API via Pyodide: it defines helper utilities for inspecting JavaScript objects, appending timestamped entries to a named Logseq page, and searching all pages for a given term using the Logseq search API. The sample illustrates the pattern of bridging Python scripting with the Logseq knowledge-graph API for automated page discovery and log management.
Semantic Classification
Content
import js
Helper function to convert object to a readable format
def props(title, obj): print(”---------------------------\n”) try: keys = obj.object_keys() vals = obj.object_values() output = title + ” Objects\n” for ctr in range(len(keys)): output += f”{str(keys[ctr]): <12} ⇒ {str(vals[ctr]): <40}\n” except: output = “Not an object” print(output) return output
Function to log output to a specific Logseq page
def log_output(content, clearlog=False): import datetime output_page = “Execution Log” # API always uses lower case page names if clearlog: logpage = js.logseq.api.get_page(output_page.lower()) blocks = js.logseq.api.get_page_blocks_tree(logpage.uuid) for block in blocks: js.logseq.api.remove_block(block.uuid) js.logseq.api.append_block_in_page( output_page, str(datetime.datetime.now())[:19] + ” ⇒ ” + content) return “Done”
Function to list files containing the specified term
def list_files_containing_term(search_term): output = "" files_with_term = set()
Searching for the term using Logseq’s search feature (Python compatible)
try: blocks = js.logseq.api.search(search_term) for block in blocks: obj_map = block.as_object_map() # Translate returned block for Python usage page_id = obj_map[“block/page”][“original-name”] files_with_term.add(page_id) except Exception as e: log_output(f”Error searching: {str(e)}”, clearlog=True) return “Error while searching” for file in files_with_term: output += f”{file}\n” log_output(output, clearlog=True) return output
Define the search term
search_term = “public:: true”
Execute the search and log the result
result = list_files_containing_term(search_term) print(result)