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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Generate docs for the TensorFlow Python API."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import inspect
import os
import sys
import six
import tensorflow as tf
from tensorflow.python import debug as tf_debug
from tensorflow.tools.common import public_api
from tensorflow.tools.common import traverse
from tensorflow.tools.docs import doc_generator_visitor
from tensorflow.tools.docs import parser
from tensorflow.tools.docs import py_guide_parser
def write_docs(output_dir, base_dir, duplicate_of, duplicates, index, tree,
reverse_index, doc_index, guide_index):
"""Write previously extracted docs to disk.
Write a docs page for each symbol in `index` to a tree of docs at
`output_dir`.
Symbols with multiple aliases will have only one page written about them,
which is referenced for all aliases. `duplicate_of` and `duplicates` are used
to determine which docs pages to write.
Args:
output_dir: Directory to write documentation markdown files to. Will be
created if it doesn't exist.
base_dir: Base directory of the code being documented. This prefix is
stripped from all file paths that are part of the documentation.
duplicate_of: A `dict` mapping fully qualified names to "master" names. This
is used to resolve "@{symbol}" references to the "master" name.
duplicates: A `dict` mapping fully qualified names to a set of all
aliases of this name. This is used to automatically generate a list of all
aliases for each name.
index: A `dict` mapping fully qualified names to the corresponding Python
objects. Used to produce docs for child objects, and to check the validity
of "@{symbol}" references.
tree: A `dict` mapping a fully qualified name to the names of all its
members. Used to populate the members section of a class or module page.
reverse_index: A `dict` mapping object ids to fully qualified names.
doc_index: A `dict` mapping a doc key to a DocInfo.
guide_index: A `dict` mapping symbol name strings to GuideRef.
"""
# Make output_dir.
try:
if not os.path.exists(output_dir):
os.makedirs(output_dir)
except OSError as e:
print('Creating output dir "%s" failed: %s' % (output_dir, e))
raise
# These dictionaries are used for table-of-contents generation below
# They will contain, after the for-loop below::
# - module name(string):classes and functions the module contains(list)
module_children = {}
# - symbol name(string):pathname (string)
symbol_to_file = {}
# Parse and write Markdown pages, resolving cross-links (@{symbol}).
for full_name, py_object in six.iteritems(index):
if full_name in duplicate_of:
continue
# Methods and some routines are documented only as part of their class.
if not (inspect.ismodule(py_object) or
inspect.isclass(py_object) or
inspect.isfunction(py_object)):
continue
sitepath = os.path.join('api_docs/python',
parser.documentation_path(full_name)[:-3])
# For TOC, we need to store a mapping from full_name to the file
# we're generating
symbol_to_file[full_name] = sitepath
# For a module, remember the module for the table-of-contents
if inspect.ismodule(py_object):
if full_name in tree:
module_children.setdefault(full_name, [])
# For something else that's documented,
# figure out what module it lives in
else:
subname = str(full_name)
while True:
subname = subname[:subname.rindex('.')]
if inspect.ismodule(index[subname]):
module_children.setdefault(subname, []).append(full_name)
break
print('Writing docs for %s (%r).' % (full_name, py_object))
# Generate docs for `py_object`, resolving references.
markdown = parser.generate_markdown(full_name, py_object,
duplicate_of=duplicate_of,
duplicates=duplicates,
index=index,
tree=tree,
reverse_index=reverse_index,
doc_index=doc_index,
guide_index=guide_index,
base_dir=base_dir)
path = os.path.join(output_dir, parser.documentation_path(full_name))
directory = os.path.dirname(path)
try:
if not os.path.exists(directory):
os.makedirs(directory)
with open(path, 'w') as f:
f.write(markdown)
except OSError as e:
print('Cannot write documentation for %s to %s: %s' % (full_name,
directory, e))
raise
# Generate table of contents
# Put modules in alphabetical order, case-insensitive
modules = sorted(module_children.keys(), key=lambda a: a.upper())
leftnav_path = os.path.join(output_dir, '_toc.yaml')
with open(leftnav_path, 'w') as f:
# Generate header
f.write('# Automatically generated file; please do not edit\ntoc:\n')
for module in modules:
f.write(' - title: ' + module + '\n'
' section:\n' +
' - title: Overview\n' +
' path: /TARGET_DOC_ROOT/' + symbol_to_file[module] + '\n')
symbols_in_module = module_children.get(module, [])
symbols_in_module.sort(key=lambda a: a.upper())
for full_name in symbols_in_module:
f.write(' - title: ' + full_name[len(module)+1:] + '\n'
' path: /TARGET_DOC_ROOT/' +
symbol_to_file[full_name] + '\n')
# Write a global index containing all full names with links.
with open(os.path.join(output_dir, 'index.md'), 'w') as f:
f.write(parser.generate_global_index('TensorFlow', index, duplicate_of))
def extract():
"""Extract docs from tf namespace and write them to disk."""
visitor = doc_generator_visitor.DocGeneratorVisitor('tf')
api_visitor = public_api.PublicAPIVisitor(visitor)
# Access something in contrib so tf.contrib is properly loaded (it's hidden
# behind lazy loading)
_ = tf.contrib.__name__
# Exclude some libaries in contrib from the documentation altogether.
# TODO(wicke): Shrink this list.
api_visitor.do_not_descend_map[''] += ['cli', 'lib', 'wrappers']
api_visitor.do_not_descend_map.update({
'contrib': [
'compiler',
'factorization',
'grid_rnn',
'labeled_tensor',
'ndlstm',
'quantization',
'session_bundle',
'slim',
'solvers',
'specs',
'tensor_forest',
'tensorboard',
'testing',
'training',
'tfprof',
],
'contrib.bayesflow': [
'special_math', 'stochastic_gradient_estimators', 'stochastic_graph',
'stochastic_tensor', 'stochastic_variables'
],
'contrib.distributions': ['bijector'],
'contrib.ffmpeg': ['ffmpeg_ops'],
'contrib.graph_editor': [
'edit',
'match',
'reroute',
'subgraph',
'transform',
'select',
'util'
],
'contrib.layers': ['feature_column', 'summaries'],
'contrib.learn': [
'datasets',
'head',
'graph_actions',
'io',
'models',
'monitors',
'ops',
'preprocessing',
'utils',
],
'contrib.util': ['loader'],
})
traverse.traverse(tf, api_visitor)
# tf_debug is not imported with tf, it's a separate module altogether
visitor.set_root_name('tfdbg')
traverse.traverse(tf_debug, api_visitor)
return visitor
class GetMarkdownTitle(py_guide_parser.PyGuideParser):
"""Extract the title from a .md file."""
def __init__(self):
self.title = None
py_guide_parser.PyGuideParser.__init__(self)
def process_title(self, _, title):
if self.title is None: # only use the first title
self.title = title
class DocInfo(object):
"""A simple struct for holding a doc's url and title."""
def __init__(self, url, title):
self.url = url
self.title = title
def build_doc_index(src_dir):
"""Build an index from a keyword designating a doc to DocInfo objects."""
doc_index = {}
for dirpath, _, filenames in os.walk(src_dir):
suffix = os.path.relpath(path=dirpath, start=src_dir)
for base_name in filenames:
if not base_name.endswith('.md'): continue
title_parser = GetMarkdownTitle()
title_parser.process(os.path.join(dirpath, base_name))
key_parts = os.path.join(suffix, base_name[:-3]).split('/')
if key_parts[-1] == 'index':
key_parts = key_parts[:-1]
doc_info = DocInfo(os.path.join(suffix, base_name), title_parser.title)
doc_index[key_parts[-1]] = doc_info
if len(key_parts) > 1:
doc_index['/'.join(key_parts[-2:])] = doc_info
return doc_index
class GuideRef(object):
def __init__(self, base_name, title, section_title, section_tag):
self.url = 'api_guides/python/' + (
('%s#%s' % (base_name, section_tag)) if section_tag else base_name)
self.link_text = (('%s > %s' % (title, section_title))
if section_title else title)
def make_md_link(self, url_prefix):
return '[%s](%s%s)' % (self.link_text, url_prefix, self.url)
class GenerateGuideIndex(py_guide_parser.PyGuideParser):
"""Turn guide files into an index from symbol name to a list of GuideRefs."""
def __init__(self):
self.index = {}
py_guide_parser.PyGuideParser.__init__(self)
def process(self, full_path, base_name):
"""Index a file, reading from `full_path`, with `base_name` as the link."""
self.full_path = full_path
self.base_name = base_name
self.title = None
self.section_title = None
self.section_tag = None
py_guide_parser.PyGuideParser.process(self, full_path)
def process_title(self, _, title):
if self.title is None: # only use the first title
self.title = title
def process_section(self, _, section_title, tag):
self.section_title = section_title
self.section_tag = tag
def process_line(self, _, line):
"""Index @{symbol} references as in the current file & section."""
for match in parser.SYMBOL_REFERENCE_RE.finditer(line):
val = self.index.get(match.group(1), [])
val.append(GuideRef(
self.base_name, self.title, self.section_title, self.section_tag))
self.index[match.group(1)] = val
def build_guide_index(guide_src_dir):
"""Return dict: symbol name -> GuideRef from the files in `guide_src_dir`."""
index_generator = GenerateGuideIndex()
for full_path, base_name in py_guide_parser.md_files_in_dir(guide_src_dir):
index_generator.process(full_path, base_name)
return index_generator.index
def write(output_dir, base_dir, doc_index, guide_index, visitor):
"""Write documentation for an index in a `DocGeneratorVisitor` to disk.
This function will create `output_dir` if it doesn't exist, and write
the documentation contained in `visitor`.
Args:
output_dir: The directory to write documentation to. Must not exist.
base_dir: The base dir of the library `visitor` has traversed. This is used
to compute relative paths for file references.
doc_index: A `dict` mapping a doc key to a DocInfo.
guide_index: A `dict` mapping symbol name strings to GuideRef.
visitor: A `DocGeneratorVisitor` that has traversed a library located at
`base_dir`.
"""
write_docs(output_dir, os.path.abspath(base_dir),
visitor.duplicate_of, visitor.duplicates,
visitor.index, visitor.tree, visitor.reverse_index,
doc_index, guide_index)
class UpdateTags(py_guide_parser.PyGuideParser):
"""Rewrites a Python guide so that each section has an explicit tag."""
def process_section(self, line_number, section_title, tag):
self.replace_line(line_number, '<h2 id="%s">%s</h2>' % (tag, section_title))
def other_docs(src_dir, output_dir, visitor, doc_index):
"""Convert all the files in `src_dir` and write results to `output_dir`."""
header = '<!-- DO NOT EDIT! Automatically generated file. -->\n'
# Iterate through all the source files and process them.
tag_updater = UpdateTags()
for dirpath, _, filenames in os.walk(src_dir):
# How to get from `dirpath` to api_docs/python/
relative_path_to_root = os.path.relpath(
path=os.path.join(src_dir, 'api_docs/python'), start=dirpath)
# Make the directory under output_dir.
new_dir = os.path.join(output_dir,
os.path.relpath(path=dirpath, start=src_dir))
try:
if not os.path.exists(new_dir):
os.makedirs(new_dir)
except OSError as e:
print('Creating output dir "%s" failed: %s' % (new_dir, e))
raise
for base_name in filenames:
full_in_path = os.path.join(dirpath, base_name)
suffix = os.path.relpath(path=full_in_path, start=src_dir)
full_out_path = os.path.join(output_dir, suffix)
if not base_name.endswith('.md'):
print('Copying non-md file %s...' % suffix)
open(full_out_path, 'w').write(open(full_in_path).read())
continue
if dirpath.endswith('/api_guides/python'):
print('Processing Python guide %s...' % base_name)
md_string = tag_updater.process(full_in_path)
else:
print('Processing doc %s...' % suffix)
md_string = open(full_in_path).read()
output = parser.replace_references(
md_string, relative_path_to_root, visitor.duplicate_of,
doc_index=doc_index, index=visitor.index)
with open(full_out_path, 'w') as f:
f.write(header + output)
print('Done.')
def _main(src_dir, output_dir, base_dir):
doc_index = build_doc_index(src_dir)
visitor = extract()
write(os.path.join(output_dir, 'api_docs/python'), base_dir,
doc_index,
build_guide_index(os.path.join(src_dir, 'api_guides/python')),
visitor)
other_docs(src_dir, output_dir, visitor, doc_index)
if __name__ == '__main__':
argument_parser = argparse.ArgumentParser()
argument_parser.add_argument(
'--output_dir',
type=str,
default=None,
required=True,
help='Directory to write docs to.'
)
argument_parser.add_argument(
'--src_dir',
type=str,
default=None,
required=True,
help='Directory with the source docs.'
)
# This doc generator works on the TensorFlow codebase. Since this script lives
# at tensorflow/tools/docs, and all code is defined somewhere inside
# tensorflow/, we can compute the base directory (two levels up), which is
# valid unless we're trying to apply this to a different code base, or are
# moving the script around.
script_dir = os.path.dirname(inspect.getfile(inspect.currentframe()))
default_base_dir = os.path.join(script_dir, '..', '..')
argument_parser.add_argument(
'--base_dir',
type=str,
default=default_base_dir,
help=('Base directory to to strip from file names referenced in docs. '
'Defaults to two directories up from the location of this file.')
)
flags, _ = argument_parser.parse_known_args()
_main(flags.src_dir, flags.output_dir, flags.base_dir)
if parser.all_errors:
print('Errors during processing:' + '\n '.join(parser.all_errors))
sys.exit(1)