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autogen.py
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"""Documentation generator for Keras.io
USAGE:
python autogen.py make
python autogen.py serve
DEPENDENCIES:
pygments
jinja2
markdown
requests
mdx_truly_sane_lists
"""
import shutil
import string
import copy
import json
import re
import os
import sys
from pathlib import Path
import http.server
import socketserver
import signal
import docstrings
import jinja2
import requests
import multiprocessing
import autogen_utils
import keras_nlp
import keras_cv
from master import MASTER
import tutobooks
import generate_tf_guides
import render_tags
EXAMPLES_GH_LOCATION = Path("keras-team") / "keras-io" / "blob" / "master" / "examples"
GUIDES_GH_LOCATION = Path("keras-team") / "keras-io" / "blob" / "master" / "guides"
PROJECT_URL = {
"keras": "https://github.com/keras-team/keras/tree/v2.13.1/",
"keras_tuner": "https://github.com/keras-team/keras-tuner/tree/v1.3.5/",
"keras_cv": "https://github.com/keras-team/keras-cv/tree/v0.5.1/",
"keras_nlp": "https://github.com/keras-team/keras-nlp/tree/v0.5.2/",
"keras_core": "https://github.com/keras-team/keras-core/tree/v0.1.0/",
}
USE_MULTIPROCESSING = False
class KerasIO:
def __init__(
self,
master,
url,
templates_dir,
md_sources_dir,
site_dir,
theme_dir,
guides_dir,
examples_dir,
redirects_dir,
refresh_guides=False,
refresh_examples=False,
):
self.master = master
self.url = url
self.templates_dir = templates_dir
self.md_sources_dir = md_sources_dir
self.site_dir = site_dir
self.theme_dir = theme_dir
self.guides_dir = guides_dir
self.examples_dir = examples_dir
self.redirects_dir = redirects_dir
self.refresh_guides = refresh_guides
self.refresh_examples = refresh_examples
self.make_examples_master()
self.nav = self.make_nav_index()
self.docstring_printer = docstrings.TFKerasDocumentationGenerator(PROJECT_URL)
def make_examples_master(self):
for entry in self.master["children"]:
if entry["path"] == "examples/":
examples_entry = entry
break
for entry in examples_entry["children"]: # e.g. {"path": "nlp", ...}
children = entry.get("children", [])
preexisting = [e["path"] for e in children]
subdir = entry["path"] # e.g. nlp
path = Path(self.examples_dir) / subdir # e.g. examples/nlp
for fname in sorted(os.listdir(path)):
if fname.endswith(".py"): # e.g. examples/nlp/test.py
name = fname[:-3]
example_path = name.split("/")[-1]
if example_path not in preexisting:
f = open(path / fname, encoding="utf-8")
f.readline()
title_line = f.readline()
f.close()
assert title_line.startswith("Title: ")
title = title_line[len("Title: ") :]
children.append({"path": example_path, "title": title.strip()})
entry["children"] = children
def make_md_sources(self):
print("Generating md sources")
if os.path.exists(self.md_sources_dir):
print("Clearing", self.md_sources_dir)
shutil.rmtree(self.md_sources_dir)
os.makedirs(self.md_sources_dir)
self.make_tutobook_sources(
guides=self.refresh_guides, examples=self.refresh_examples
)
self.sync_tutobook_templates()
# Recursively generate all md sources based on the MASTER tree
self.make_md_source_for_entry(self.master, path_stack=[], title_stack=[])
# Pull some content from GitHub (governance, contributing)
# This enables us to keep a single source of truth for that content.
self.sync_external_readmes_to_sources() # Overwrite e.g. sources/governance.md
def sync_external_readmes_to_sources(self):
# TODO keras-team/keras/CONTRIBUTING -> contributing.md
# keras-team/governance/README -> governance.md
r = requests.get(
"https://raw.githubusercontent.com/keras-team/"
"governance/master/README.md"
)
content = r.text
content = content[content.find("---\n") + 4 :]
content = content.replace("\n#", "\n##")
fpath = Path(self.md_sources_dir) / "governance.md"
md = open(fpath).read()
assert "{{sig_readme}}" in md
md = md.replace("{{sig_readme}}", content)
autogen_utils.save_file(fpath, md)
def preprocess_tutobook_md_source(
self, md_content, fname, github_repo_dir, img_dir, site_img_dir
):
# Insert colab button and github button.
name = fname[:-3]
md_content_lines = md_content.split("\n")
button_lines = [
"\n",
'<img class="k-inline-icon" src="https://colab.research.google.com/img/colab_favicon.ico"/> '
"[**View in Colab**](https://colab.research.google.com/github/"
+ github_repo_dir
+ "/ipynb/"
+ name
+ ".ipynb"
+ ") "
'<span class="k-dot">•</span>'
'<img class="k-inline-icon" src="https://github.com/favicon.ico"/> '
"[**GitHub source**](https://github.com/"
+ github_repo_dir
+ "/"
+ fname
+ ")",
"\n",
]
md_content_lines = md_content_lines[:6] + button_lines + md_content_lines[6:]
md_content = "\n".join(md_content_lines)
# Normalize img urls
md_content = md_content.replace(
str(img_dir) + "/" + name, self.url + site_img_dir
)
# Insert --- before H2 titles
md_content = md_content.replace("\n## ", "\n---\n## ")
# Clean up progress bar output
if "[1m" in md_content:
md_content = md_content.replace("[1m", " ")
md_content = md_content.replace("[0m [32m", " ")
md_content = md_content.replace("[0m[37m[0m [1m", " ")
md_content = md_content.replace("[0m", "")
md_content = md_content.replace("[37m ", "")
return md_content
def make_tutobook_sources_for_directory(
self, src_dir, target_dir, img_dir, site_img_dir, github_repo_dir
):
# e.g.
# make_tutobook_sources_for_directory(
# "examples/nlp", "examples/nlp/md", "examples/nlp/img", "img/examples/nlp")
print("Making tutobook sources for", src_dir)
working_ipynb_dir = Path(src_dir) / "ipynb"
if not os.path.exists(working_ipynb_dir):
os.makedirs(working_ipynb_dir)
for fname in os.listdir(src_dir):
if fname.endswith(".py"):
print("...Processing", fname)
name = fname[:-3]
py_path = Path(src_dir) / fname
nb_path = working_ipynb_dir / (name + ".ipynb")
md_path = Path(target_dir) / (name + ".md")
tutobooks.py_to_md(py_path, nb_path, md_path, img_dir)
md_content = open(md_path).read()
md_content = self.preprocess_tutobook_md_source(
md_content, fname, github_repo_dir, img_dir, site_img_dir
)
open(md_path, "w").write(md_content)
shutil.rmtree(working_ipynb_dir)
def make_tutobook_ipynbs(self):
def process_one_dir(src_dir, target_dir):
if os.path.exists(target_dir):
print("Clearing", target_dir)
shutil.rmtree(target_dir)
os.makedirs(target_dir)
for fname in os.listdir(src_dir):
if fname.endswith(".py"):
print("...Processing", fname)
name = fname[:-3]
py_path = Path(src_dir) / fname
nb_path = target_dir / (name + ".ipynb")
tutobooks.py_to_nb(py_path, nb_path, fill_outputs=False)
# Guides
guides_dir = Path(self.guides_dir)
ipynb_dir = guides_dir / "ipynb"
process_one_dir(guides_dir, ipynb_dir)
# Examples
for name in os.listdir(self.examples_dir):
path = Path(self.examples_dir) / name
if os.path.isdir(path):
ipynb_dir = path / "ipynb"
process_one_dir(path, ipynb_dir)
def add_example(self, path, working_dir=None):
"""e.g. add_example('vision/cats_and_dogs')"""
# Prune out the ../ path
if path.startswith("../examples/"):
path = path.replace("../examples/", "")
folder, name = path.split(os.path.sep)
assert path.count(os.path.sep) == 1
if name.endswith(".py"):
name = name[:-3]
ipynb_dir = Path(self.examples_dir) / folder / "ipynb"
if not os.path.exists(ipynb_dir):
os.makedirs(ipynb_dir)
md_dir = Path(self.examples_dir) / folder / "md"
if not os.path.exists(md_dir):
os.makedirs(md_dir)
img_dir = Path(self.examples_dir) / folder / "img"
if not os.path.exists(img_dir):
os.makedirs(img_dir)
py_path = Path(self.examples_dir) / folder / (name + ".py")
md_path = md_dir / (name + ".md")
nb_path = ipynb_dir / (name + ".ipynb")
self.disable_warnings()
tutobooks.py_to_nb(py_path, nb_path, fill_outputs=False)
tutobooks.py_to_md(py_path, nb_path, md_path, img_dir, working_dir=working_dir)
md_content = open(md_path).read()
github_repo_dir = str(EXAMPLES_GH_LOCATION / folder)
site_img_dir = os.path.join("img", "examples", folder, name)
md_content = self.preprocess_tutobook_md_source(
md_content, name + ".py", github_repo_dir, img_dir, site_img_dir
)
open(md_path, "w").write(md_content)
def add_guide(self, name, working_dir=None):
"""e.g. add_guide('functional_api')"""
# Prune out the ../ path
if name.startswith("../guides/"):
name = name.replace("../guides/", "")
if name.endswith(".py"):
name = name[:-3]
ipynb_dir = Path(self.guides_dir) / "ipynb"
if not os.path.exists(ipynb_dir):
os.makedirs(ipynb_dir)
md_dir = Path(self.guides_dir) / "md"
if not os.path.exists(md_dir):
os.makedirs(md_dir)
img_dir = Path(self.guides_dir) / "img"
if not os.path.exists(img_dir):
os.makedirs(img_dir)
py_path = Path(self.guides_dir) / (name + ".py")
md_path = md_dir / (name + ".md")
nb_path = ipynb_dir / (name + ".ipynb")
self.disable_warnings()
tutobooks.py_to_nb(py_path, nb_path, fill_outputs=False)
tutobooks.py_to_md(py_path, nb_path, md_path, img_dir, working_dir=working_dir)
md_content = open(md_path).read()
md_content = md_content.replace("../guides/img/", "/img/guides/")
github_repo_dir = str(GUIDES_GH_LOCATION)
site_img_dir = "img/guides/" + name
md_content = self.preprocess_tutobook_md_source(
md_content, name + ".py", github_repo_dir, img_dir, site_img_dir
)
open(md_path, "w").write(md_content)
@staticmethod
def disable_warnings():
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
os.environ["AUTOGRAPH_VERBOSITY"] = "0"
def make_tutobook_sources(self, guides=True, examples=True):
"""Populate `examples/nlp/md`, `examples/nlp/img/`, etc.
- guides/md/ & /png/
- examples/nlp/md/ & /png/
- examples/computer_vision/md/ & /png/
- examples/structured_data/md/ & /png/
- examples/timeseries/md/ & /png/
- examples/generative_dl/md/ & /png/
- examples/keras_recipes/md/ & /png/
"""
# Guides
if guides:
target_dir = Path(self.guides_dir) / "md"
img_dir = Path(self.guides_dir) / "img"
if os.path.exists(target_dir):
shutil.rmtree(target_dir)
if os.path.exists(img_dir):
shutil.rmtree(img_dir)
os.makedirs(target_dir)
os.makedirs(img_dir)
self.make_tutobook_sources_for_directory(
src_dir=Path(self.guides_dir),
target_dir=target_dir,
img_dir=img_dir,
site_img_dir="img/guides/",
github_repo_dir=str(GUIDES_GH_LOCATION),
)
# Examples
if examples:
for name in os.listdir(self.examples_dir):
path = Path(self.examples_dir) / name
if os.path.isdir(path):
target_dir = path / "md"
img_dir = path / "img"
if os.path.exists(target_dir):
shutil.rmtree(target_dir)
if os.path.exists(img_dir):
shutil.rmtree(img_dir)
os.makedirs(target_dir)
os.makedirs(img_dir)
self.make_tutobook_sources_for_directory(
src_dir=path, # e.g. examples/nlp
target_dir=target_dir, # e.g. examples/nlp/md
img_dir=img_dir, # e.g. examples/nlp/img
site_img_dir="img/examples/" + name, # e.g. img/examples/nlp
github_repo_dir=str(EXAMPLES_GH_LOCATION / name),
)
def sync_tutobook_templates(self):
"""Copy generated `.md`s to source_dir.
Note: intro guides are copied to getting_started.
guides/md/ -> sources/guides/
guides/md/intro_* -> sources/getting_started/
examples/*/md/ -> sources/examples/*/
"""
if not os.path.exists(Path(self.templates_dir) / "guides" / "keras_core"):
os.makedirs(Path(self.templates_dir) / "guides" / "keras_core")
if os.path.exists(Path(self.templates_dir) / "keras_core" / "guides"):
shutil.rmtree(Path(self.templates_dir) / "keras_core" / "guides")
# Guides
copy_inner_contents(
Path(self.guides_dir) / "md",
Path(self.templates_dir) / "guides",
ext=".md",
)
# Special cases
shutil.copyfile(
Path(self.templates_dir) / "guides" / "intro_to_keras_for_engineers.md",
Path(self.templates_dir)
/ "getting_started"
/ "intro_to_keras_for_engineers.md",
)
shutil.copyfile(
Path(self.templates_dir) / "guides" / "intro_to_keras_for_researchers.md",
Path(self.templates_dir)
/ "getting_started"
/ "intro_to_keras_for_researchers.md",
)
# Move Keras Core guides from `guides/keras_core/` to keras_core/guides/
shutil.move(
Path(self.templates_dir) / "guides" / "keras_core",
Path(self.templates_dir) / "keras_core" / "guides",
)
# Examples
for dir_name in os.listdir(Path(self.examples_dir)):
dir_path = Path(self.examples_dir) / dir_name # e.g. examples/nlp
if os.path.isdir(dir_path):
dst_dir = Path(self.templates_dir) / "examples" / dir_name
if not os.path.exists(dst_dir):
os.makedirs(dst_dir)
copy_inner_contents(dir_path / "md", dst_dir, ext=".md")
def sync_tutobook_media(self):
"""Copy generated `.png`s to site_dir.
Note: intro guides are copied to getting_started.
guides/img/ -> site/img/guides/
examples/*/img/ -> site/img/examples/*/
"""
# Copy images for guide notebooks
for name in os.listdir(Path(self.guides_dir) / "img"):
path = Path(self.guides_dir) / "img" / name
if os.path.isdir(path):
shutil.copytree(path, Path(self.site_dir) / "img" / "guides" / name)
# Copy images for examples notebooks
for dir_name in os.listdir(Path(self.examples_dir)):
dir_path = Path(self.examples_dir) / dir_name
if os.path.isdir(dir_path):
if not os.path.exists(dir_path / "img"):
continue # No media was generated for this tutobook.
dst_dir = Path(self.site_dir) / "img" / "examples" / dir_name
if not os.path.exists(dst_dir):
os.makedirs(dst_dir)
for name in os.listdir(dir_path / "img"):
path = dir_path / "img" / name
if os.path.isdir(path):
shutil.copytree(
path,
Path(self.site_dir) / "img" / "examples" / dir_name / name,
)
def make_nav_index(self):
max_depth = 4
path_stack = []
def make_nav_index_for_entry(entry, path_stack, max_depth):
path = entry["path"]
if path != "/":
path_stack.append(path)
url = self.url + str(Path(*path_stack)) + "/"
relative_url = "/" + str(Path(*path_stack)) + "/"
if len(path_stack) < max_depth:
children = [
make_nav_index_for_entry(child, path_stack[:], max_depth)
for child in entry.get("children", [])
]
else:
children = []
return {
"title": entry["title"],
"relative_url": relative_url,
"url": url,
"children": children,
}
return [
make_nav_index_for_entry(entry, path_stack[:], max_depth)
for entry in self.master["children"]
]
def make_md_source_for_entry(self, entry, path_stack, title_stack):
path = entry["path"]
if path != "/":
path_stack.append(path)
title_stack.append(entry["title"])
print("...Processing", Path(*path_stack))
parent_url = self.url + str(Path(*path_stack)) + "/"
if path.endswith("/"):
dir_path = Path(self.md_sources_dir) / Path(*path_stack)
if not os.path.exists(dir_path):
os.makedirs(dir_path)
template_path = Path(self.templates_dir) / Path(*path_stack)
if path.endswith("/"):
template_path /= "index.md"
else:
template_path = template_path.with_suffix(".md")
if os.path.exists(template_path):
template_file = open(template_path, encoding="utf8")
template = template_file.read()
template_file.close()
else:
template = ""
if entry.get("toc"):
template += "{{toc}}\n\n"
if entry.get("generate"):
template += "{{autogenerated}}\n"
if not template.startswith("# "):
template = "# " + entry["title"] + "\n\n" + template
generate = entry.get("generate")
children = entry.get("children")
if generate:
generated_md = ""
for element in generate:
generated_md += self.docstring_printer.render(element)
if "{{autogenerated}}" not in template:
raise RuntimeError(
"Template found for %s but missing "
"{{autogenerated}} tag." % (template_path,)
)
template = template.replace("{{autogenerated}}", generated_md)
if entry.get("toc"):
if not children:
raise ValueError(
f"For template {template_path}, "
"a table of contents was requested but "
"the entry had no children."
)
toc = generate_md_toc(children, parent_url)
if "{{toc}}" not in template:
raise RuntimeError(
"Table of contents requested for %s but "
"missing {{toc}} tag." % (template_path,)
)
template = template.replace("{{toc}}", toc)
if "keras_nlp/" in path_stack and "models/" in path_stack:
template = render_tags.render_tags(template, keras_nlp)
if "keras_cv/" in path_stack and "models/" in path_stack:
template = render_tags.render_tags(template, keras_cv)
source_path = Path(self.md_sources_dir) / Path(*path_stack)
if path.endswith("/"):
md_source_path = source_path / "index.md"
metadata_path = source_path / "index_metadata.json"
else:
md_source_path = source_path.with_suffix(".md")
metadata_path = str(source_path) + "_metadata.json"
# Save md source file
autogen_utils.save_file(md_source_path, template)
# Save metadata file
location_history = []
for i in range(len(path_stack)):
stripped_path_stack = [s.replace("/", "") for s in path_stack[: i + 1]]
url = self.url + "/".join(stripped_path_stack)
location_history.append(
{
"url": url,
"title": title_stack[i],
}
)
metadata = json.dumps(
{
"location_history": location_history[:-1],
"outline": autogen_utils.make_outline(template)
if entry.get("outline", True)
else [],
"location": "/" + "/".join([s.replace("/", "") for s in path_stack]),
"url": parent_url,
"title": entry["title"],
}
)
autogen_utils.save_file(metadata_path, metadata)
if children:
for entry in children:
self.make_md_source_for_entry(entry, path_stack[:], title_stack[:])
def make_map_of_symbol_names_to_api_urls(self):
def recursive_make_map(entry, current_url):
current_url /= entry["path"]
entry_map = {}
if "generate" in entry:
for symbol in entry["generate"]:
object_ = docstrings.import_object(symbol)
object_type = docstrings.get_type(object_)
object_name = symbol.split(".")[-1]
if symbol.startswith("tensorflow.keras."):
symbol = symbol.replace("tensorflow.keras.", "keras.")
object_name = object_name.lower().replace("_", "")
entry_map[symbol] = (
str(current_url) + "#" + object_name + "-" + object_type
)
if "children" in entry:
for child in entry["children"]:
entry_map.update(recursive_make_map(child, current_url))
return entry_map
self._map_of_symbol_names_to_api_urls = recursive_make_map(
self.master, Path("")
)
def generate_examples_landing_page(self):
"""Create the html file /examples/index.html.
- Load examples information and metadata
- Group them by category (e.g. CV) and subcategory (e.g. image classification)
- Render a card for each example
"""
examples_by_category = {}
category_names = []
category_paths = []
for child in self.master["children"]:
if child["path"] == "examples/":
examples_master = child
break
for category in examples_master["children"]:
category_name = category["title"]
category_names.append(category_name)
category_paths.append(category["path"])
examples_by_category[category_name] = category["children"]
categories_to_render = []
for category_name, category_path in zip(category_names, category_paths):
examples_by_subcategory = {}
subcategory_names = []
for example in examples_by_category[category_name]:
subcategory_name = example.get("subcategory", "Other")
if subcategory_name not in examples_by_subcategory:
examples_by_subcategory[subcategory_name] = []
subcategory_names.append(subcategory_name)
example["path"] = "/examples/" + category_path + example["path"]
examples_by_subcategory[subcategory_name].append(example)
subcategories_to_render = []
for subcategory_name in subcategory_names:
subcategories_to_render.append(
{
"title": subcategory_name,
"examples": examples_by_subcategory[subcategory_name],
}
)
category_dict = {
"title": category_name,
"path": "/examples/" + category_path,
}
if len(subcategories_to_render) > 1:
category_dict["subcategories"] = subcategories_to_render
else:
category_dict["examples"] = subcategories_to_render[0]["examples"]
categories_to_render.append(category_dict)
with open(Path(self.templates_dir) / "examples/index.md") as f:
md_content = f.read()
with open(Path(self.md_sources_dir) / "examples/index_metadata.json") as f:
metadata = json.loads(f.read())
examples_template = jinja2.Template(
open(Path(self.theme_dir) / "examples.html").read()
)
html_example_cards = examples_template.render(
{"categories": categories_to_render, "legend": True}
)
html_content = autogen_utils.render_markdown_to_html(md_content)
html_content = html_content.replace(
"<p>{{examples_list}}</p>", html_example_cards
)
html_content = insert_title_ids_in_html(html_content)
relative_url = "/examples/"
local_nav = [
autogen_utils.set_active_flag_in_nav_entry(entry, relative_url)
for entry in self.nav
]
self.render_single_docs_page_from_html(
target_path=Path(self.site_dir) / "examples/index.html",
title="Code examples",
html_content=html_content,
location_history=metadata["location_history"],
outline=metadata["outline"],
local_nav=local_nav,
)
# Save per-category landing pages
for category_name, category_path in zip(category_names, category_paths):
with open(
Path(self.md_sources_dir)
/ "examples"
/ category_path
/ "index_metadata.json"
) as f:
metadata = json.loads(f.read())
relative_url = f"/examples/{category_path}"
local_nav = [
autogen_utils.set_active_flag_in_nav_entry(entry, relative_url)
for entry in self.nav
]
to_render = [
cat for cat in categories_to_render if cat["title"] == category_name
]
html_example_cards = examples_template.render(
{"categories": to_render, "legend": False}
)
self.render_single_docs_page_from_html(
target_path=Path(self.site_dir)
/ "examples"
/ category_path
/ "index.html",
title=category_name,
html_content=html_example_cards,
location_history=metadata["location_history"],
outline=metadata["outline"],
local_nav=local_nav,
)
def render_md_sources_to_html(self):
self.make_map_of_symbol_names_to_api_urls()
print("Rendering md sources to HTML")
base_template = jinja2.Template(open(Path(self.theme_dir) / "base.html").read())
docs_template = jinja2.Template(open(Path(self.theme_dir) / "docs.html").read())
all_urls_list = []
if os.path.exists(self.site_dir):
print("Clearing", self.site_dir)
shutil.rmtree(self.site_dir)
if USE_MULTIPROCESSING:
for src_location, _, fnames in os.walk(self.md_sources_dir):
pool = multiprocessing.Pool(processes=8)
workers = [
pool.apply_async(
self.render_single_file,
args=(src_location, fname, self.nav),
)
for fname in fnames
]
for worker in workers:
url = worker.get()
if url is not None:
all_urls_list.append(url)
pool.close()
pool.join()
else:
for src_location, _, fnames in os.walk(self.md_sources_dir):
for fname in fnames:
print("...Rendering", fname)
self.render_single_file(src_location, fname, self.nav)
# Images & css
shutil.copytree(Path(self.theme_dir) / "css", Path(self.site_dir) / "css")
shutil.copytree(Path(self.theme_dir) / "img", Path(self.site_dir) / "img")
# Landing page
landing_template = jinja2.Template(
open(Path(self.theme_dir) / "landing.html").read()
)
landing_page = landing_template.render({"base_url": self.url})
autogen_utils.save_file(Path(self.site_dir) / "index.html", landing_page)
# Keras Core announcement page
keras_core_template = jinja2.Template(
open(Path(self.theme_dir) / "keras_core.html").read()
)
md_content = open(
Path(self.templates_dir) / "keras_core" / "announcement.md"
).read()
content = autogen_utils.render_markdown_to_html(md_content)
keras_core_page = keras_core_template.render(
{"base_url": self.url, "content": content}
)
autogen_utils.save_file(
Path(self.site_dir) / "keras_core" / "announcement" / "index.html",
keras_core_page,
)
# Search page
search_main = open(Path(self.theme_dir) / "search.html").read()
search_page = base_template.render(
{
"title": "Search Keras documentation",
"nav": self.nav,
"base_url": self.url,
"main": search_main,
}
)
autogen_utils.save_file(Path(self.site_dir) / "search.html", search_page)
# 404 page
page404 = base_template.render(
{
"title": "Page not found",
"nav": self.nav,
"base_url": self.url,
"main": docs_template.render(
{
"title": "404",
"content": "<h1>404: Page not found</h1>",
"base_url": self.url,
}
),
}
)
autogen_utils.save_file(Path(self.site_dir) / "404.html", page404)
# Favicon
shutil.copyfile(
Path(self.theme_dir) / "favicon.ico",
Path(self.site_dir) / "favicon.ico",
)
# Tutobooks
self.sync_tutobook_media()
sitemap = "\n".join(all_urls_list) + "\n"
autogen_utils.save_file(Path(self.site_dir) / "sitemap.txt", sitemap)
# Redirects
shutil.copytree(self.redirects_dir, self.site_dir, dirs_exist_ok=True)
# Examples landing page
self.generate_examples_landing_page()
def render_single_file(self, src_location, fname, nav):
if not fname.endswith(".md"):
return
src_dir = Path(src_location)
target_dir = src_location.replace(self.md_sources_dir, self.site_dir)
if not os.path.exists(target_dir):
try:
os.makedirs(target_dir)
except FileExistsError:
# Might be created by a concurrent process.
pass
# Load metadata for page
with open(str(Path(src_location) / fname[:-3]) + "_metadata.json") as f:
metadata = json.loads(f.read())
if fname == "index.md":
# Render as index.html
target_path = Path(target_dir) / "index.html"
relative_url = (str(target_dir) + "/").replace(self.site_dir, "/")
relative_url = relative_url.replace("//", "/")
else:
# Render as fname_no_ext/index.tml
fname_no_ext = ".".join(fname.split(".")[:-1])
full_target_dir = Path(target_dir) / fname_no_ext
os.makedirs(full_target_dir)
target_path = full_target_dir / "index.html"
relative_url = (str(full_target_dir) + "/").replace(self.site_dir, "/")
relative_url = relative_url.replace("//", "/")
md_file = open(src_dir / fname, encoding="utf-8")
md_content = md_file.read()
md_file.close()
md_content = replace_links(md_content)
# Convert Keras symbols to links to the Keras docs
for symbol, symbol_url in self._map_of_symbol_names_to_api_urls.items():
md_content = re.sub(
r"`((tf\.|)" + symbol + ")`",
r"[`\1`](" + symbol_url + ")",
md_content,
)
# Convert TF symbols to links to tensorflow.org
tmp_content = copy.copy(md_content)
replacements = {}
while "`tf." in tmp_content:
index = tmp_content.find("`tf.")
if tmp_content[index - 1] == "[":
tmp_content = tmp_content[tmp_content.find("`tf.") + 1 :]
tmp_content = tmp_content[tmp_content.find("`") + 1 :]
else:
tmp_content = tmp_content[tmp_content.find("`tf.") + 1 :]
symbol = tmp_content[: tmp_content.find("`")]
tmp_content = tmp_content[tmp_content.find("`") + 1 :]
if "/" not in symbol and "(" not in symbol:
# Check if we're looking at a method on a class
symbol_parts = symbol.split(".")
if len(symbol_parts) >= 3 and symbol_parts[-2][0].isupper():
# In this case the link should look like ".../class#method"
path = "/".join(symbol_parts[:-1]) + "#" + symbol_parts[-1]
else:
# Otherwise just ".../module/class_or_fn"
path = symbol.replace(".", "/")
path = path.replace("(", "")
path = path.replace(")", "")
replacements["`" + symbol + "`"] = (
"[`"
+ symbol
+ "`](https://www.tensorflow.org/api_docs/python/"
+ path
+ ")"
)
for key, value in replacements.items():
md_content = md_content.replace(key, value)
html_content = autogen_utils.render_markdown_to_html(md_content)
html_content = insert_title_ids_in_html(html_content)
local_nav = [
autogen_utils.set_active_flag_in_nav_entry(entry, relative_url)
for entry in nav
]
title = md_content[2 : md_content.find("\n")]
self.render_single_docs_page_from_html(
target_path,
title,
html_content,
metadata["location_history"],
metadata["outline"],
local_nav,
)
return relative_url
def render_single_docs_page_from_html(
self,
target_path,
title,
html_content,
location_history,
outline,
local_nav,
):
base_template = jinja2.Template(open(Path(self.theme_dir) / "base.html").read())
docs_template = jinja2.Template(open(Path(self.theme_dir) / "docs.html").read())
html_docs = docs_template.render(
{
"title": title,
"content": html_content,
"location_history": location_history,
"base_url": self.url,
"outline": outline,
}
)
html_page = base_template.render(
{
"title": title,
"nav": local_nav,
"base_url": self.url,
"main": html_docs,
}
)
html_page = html_page.replace("../guides/img/", "/img/guides/")
autogen_utils.save_file(target_path, html_page)
def make(self):
self.make_md_sources()
self.render_md_sources_to_html()
self.make_tutobook_ipynbs()
def serve(self):
os.chdir(self.site_dir)
socketserver.ThreadingTCPServer.allow_reuse_address = True
server = socketserver.ThreadingTCPServer(
("", 8000), http.server.SimpleHTTPRequestHandler
)
server.daemon_threads = True
def signal_handler(signal, frame):
try:
if server:
server.server_close()
finally:
sys.exit(0)
signal.signal(signal.SIGINT, signal_handler)
try:
print("Serving on 0.0.0.0:8000")
server.serve_forever()
except KeyboardInterrupt:
pass
finally:
server.server_close()
def replace_links(content):
# Make sure all Keras guides point to keras.io.
for entry in generate_tf_guides.CONFIG:
keras_name = entry["source_name"]
tf_name = entry["target_name"]
content = content.replace(
"https://www.tensorflow.org/guide/keras/" + tf_name,
"https://keras.io/guides/" + keras_name,
)
return content
def strip_markdown_tags(md):
# Strip links
md = re.sub(r"\[(.*?)\]\(.*?\)", r"\1", md)