Finding Content by Tag
Problem
You want to find all content items that have a specific tag assigned.
Solution
A tag identifier is required to find content items. See Viewing Tag Information for details.
from posit import connect
client = connect.Client()
TAG_ID = "42"
res = client.get(f"/v1/tags/{TAG_ID}/content")The response can be easily turned into a DataFrame.
>>> import polars as pl
>>> pl.DataFrame(res.json())
shape: (24, 45)
┌─────────────────────────────────┬──────────────────────────────┬──────────────────────────────┬──────────────────────────────────────────────────────────────────────────────┐
│ guid ┆ name ┆ title ┆ description │
│ --- ┆ --- ┆ --- ┆ --- │
│ str ┆ str ┆ str ┆ str │
╞═════════════════════════════════╪══════════════════════════════╪══════════════════════════════╪══════════════════════════════════════════════════════════════════════════════╡
│ 5b6f05d1-1fea-480b-b8fa-51aec6… ┆ AI-Overview ┆ Introduction to AI ┆ An introductory overview of Artificial Intelligence and its core concepts. │
│ 7ec59570-b199-4f16-8fff-86e3c6… ┆ ML-Models ┆ Machine Learning Models ┆ Detailed explanation of various machine learning models and their applicatio │
│ 3f4140dd-5924-4b31-bb2e-2031b2… ┆ DeepLearning-Techniques ┆ Advanced Deep Learning ┆ Exploration of advanced techniques in deep learning, including neural network│
│ 62ebbc03-818b-41f2-91fe-4718bb… ┆ Tech-Trends2024 ┆ Technology Trends in 2024 ┆ A look into the upcoming technology trends expected to dominate in 2024. │
│ 2bd2a699-b46e-4e6a-8eb6-caca49… ┆ Health-Innovations ┆ Innovations in Healthcare ┆ Innovations and breakthroughs in the healthcare industry for better outcomes.│
│ … ┆ … ┆ … ┆ … │
│ d235306c-7155-4aa3-aac0-a6b587… ┆ Software-Development ┆ Software Development Basics ┆ Basics of software development, including best practices and methodologies. │
│ 3bed9e07-b793-43ea-839a-37e41b… ┆ Mobile-Apps-Trends ┆ Trends in Mobile Apps ┆ Current trends in mobile app development and popular frameworks. │
│ 1d79c2c7-c649-40be-a0b5-3be159… ┆ Stats-Overview ┆ Overview of Statistics ┆ Comprehensive overview of statistics and its importance in data analysis. │
│ 2c67c0c5-3d8b-44c7-a4b3-a80787… ┆ AI-Applications ┆ Applications of AI ┆ Various applications of artificial intelligence across different industries. │
│ 2bee37f3-1f44-4ba5-bbdc-092dd0… ┆ Data-Visualization ┆ Data Visualization Techniques┆ Techniques and tools for effective data visualization and presentation. │
└─────────────────────────────────┴──────────────────────────────┴──────────────────────────────┴──────────────────────────────────────────────────────────────────────────────┘The content_list_by_tag() function requires a Tag object representing. See Viewing Tag Information for details.
library(connectapi)
client <- connect()
tag_tree <- get_tags(client)
target_tag <- tag_tree$Departments$Administrative
tagged_content <- content_list_by_tag(client, target_tag)The content_list_by_tag() function returns a data frame of content information.
> tagged_content
# A tibble: 1 × 46
guid name title description access_type locked locked_message connection_timeout
<chr> <chr> <chr> <chr> <chr> <lgl> <chr> <int>
1 154bd2af-… cont… Cont… "" logged_in FALSE "" NA
# ℹ 38 more variables: read_timeout <int>, init_timeout <int>, idle_timeout <int>,
# max_processes <int>, min_processes <int>, max_conns_per_process <int>,
# load_factor <dbl>, memory_request <lgl>, memory_limit <lgl>, cpu_request <lgl>,
# cpu_limit <lgl>, amd_gpu_limit <lgl>, nvidia_gpu_limit <lgl>,
# service_account_name <lgl>, default_image_name <lgl>, created_time <dttm>,
# last_deployed_time <dttm>, bundle_id <chr>, app_mode <chr>, content_category <chr>,
# parameterized <lgl>, cluster_name <chr>, image_name <chr>, r_version <chr>, …