Source code for

__author__ = "Johannes Köster"
__copyright__ = "Copyright 2015-2019, Johannes Köster"
__email__ = ""
__license__ = "MIT"

import os
import sys
import mimetypes
import base64
import textwrap
import datetime
import io
import uuid
import json
import time
import shutil
import subprocess as sp
import itertools
import csv
from collections import namedtuple, defaultdict

import requests

from docutils.parsers.rst.directives.images import Image, Figure
from docutils.parsers.rst import directives
from docutils.core import publish_file, publish_parts

from snakemake import script, wrapper
from snakemake.utils import format
from snakemake.logging import logger
from import is_flagged, get_flag_value
from snakemake.exceptions import WorkflowError
from snakemake.script import Snakemake
from snakemake import __version__
from snakemake.common import num_if_possible
from snakemake import logging

[docs]class EmbeddedMixin(object): """ Replaces the URI of a directive with a base64-encoded version. Useful for embedding images/figures in reports. """
[docs] def run(self): """ handles most of the """ result = reference = directives.uri(self.arguments[0]) self.options["uri"] = data_uri_from_file(reference) return result
# Create (and register) new image:: and figure:: directives that use a base64 # data URI instead of pointing to a filename.
[docs]class EmbeddedImage(Image, EmbeddedMixin): pass
directives.register_directive("embeddedimage", EmbeddedImage)
[docs]class EmbeddedFigure(Figure, EmbeddedMixin): pass
directives.register_directive("embeddedfigure", EmbeddedFigure)
[docs]def data_uri(data, filename, encoding="utf8", mime="text/plain"): """Craft a base64 data URI from file with proper encoding and mimetype.""" data = base64.b64encode(data) uri = "data:{mime};charset={charset};filename={filename};base64,{data}" "".format( filename=filename, mime=mime, charset=encoding, data=data.decode("utf-8") ) return uri
[docs]def mime_from_file(file): mime, encoding = mimetypes.guess_type(file) if mime is None: mime = "text/plain" "Could not detect mimetype for {}, assuming " "text/plain.".format(file) ) return mime, encoding
[docs]def data_uri_from_file(file, defaultenc="utf8"): """Craft a base64 data URI from file with proper encoding and mimetype.""" mime, encoding = mime_from_file(file) if encoding is None: encoding = defaultenc with open(file, "rb") as f: return data_uri(, os.path.basename(file), encoding, mime)
[docs]def report( text, path, stylesheet=None, defaultenc="utf8", template=None, metadata=None, **files ): if stylesheet is None: os.path.join(os.path.dirname(__file__), "report.css") outmime, _ = mimetypes.guess_type(path) if outmime != "text/html": raise ValueError("Path to report output has to be an HTML file.") definitions = textwrap.dedent( """ .. role:: raw-html(raw) :format: html """ ) metadata = textwrap.dedent( """ .. container:: :name: metadata {metadata}{date} """ ).format( metadata=metadata + " | " if metadata else "",, ) text = format(textwrap.dedent(text), stepout=3) attachments = [] if files: attachments = [ textwrap.dedent( """ .. container:: :name: attachments """ ) ] for name, _files in sorted(files.items()): if not isinstance(_files, list): _files = [_files] links = [] for file in sorted(_files): data = data_uri_from_file(file) links.append( ':raw-html:`<a href="{data}" download="{filename}" draggable="true">{filename}</a>`'.format( data=data, filename=os.path.basename(file) ) ) links = "\n\n ".join(links) attachments.append( """ .. container:: :name: {name} {name}: {links} """.format( name=name, links=links ) ) text = definitions + text + "\n\n" + "\n\n".join(attachments) + metadata overrides = dict() if template is not None: overrides["template"] = template if stylesheet is not None: overrides["stylesheet_path"] = stylesheet html = open(path, "w") publish_file( source=io.StringIO(text), destination=html, writer_name="html", settings_overrides=overrides, )
[docs]class Category: def __init__(self, name): if name is None: name = "Other" = name = "results-{name}".format(name=name.replace(" ", "_")) self.content_id = + "-content" def __eq__(self, other): return def __hash__(self): return def __lt__(self, other): if == "other": return False return
[docs]class RuleRecord: def __init__(self, job, job_rec): import yaml = job_rec.rule self._rule = job.rule self.singularity_img_url = job_rec.singularity_img_url self.conda_env = None self._conda_env_raw = None if job_rec.conda_env: self._conda_env_raw = base64.b64decode(job_rec.conda_env).decode() self.conda_env = yaml.load(self._conda_env_raw, Loader=yaml.Loader) self.n_jobs = 1 self.output = list(job_rec.output) = uuid.uuid4()
[docs] def code(self): try: from pygments.lexers import get_lexer_by_name from pygments.formatters import HtmlFormatter from pygments import highlight import pygments.util except ImportError: raise WorkflowError( "Python package pygments must be installed to create reports." ) source, language = None, None if self._rule.shellcmd is not None: source = self._rule.shellcmd language = "bash" elif self._rule.script is not None:"Loading script code for rule {}".format( _, source, language = script.get_source( self._rule.script, self._rule.basedir ) source = source.decode() elif self._rule.wrapper is not None:"Loading wrapper code for rule {}".format( _, source, language = script.get_source( wrapper.get_script( self._rule.wrapper, prefix=self._rule.workflow.wrapper_prefix ) ) source = source.decode() try: lexer = get_lexer_by_name(language) return highlight( source, lexer, HtmlFormatter(linenos=True, cssclass="source", wrapcode=True), ) except pygments.util.ClassNotFound: return "<pre><code>source</code></pre>"
[docs] def add(self, job_rec): self.n_jobs += 1 self.output.extend(job_rec.output)
def __eq__(self, other): return ( == and self.conda_env == other.conda_env and self.singularity_img_url == other.singularity_img_url )
[docs]class ConfigfileRecord: def __init__(self, configfile): = configfile
[docs] def code(self): try: from pygments.lexers import get_lexer_by_name from pygments.formatters import HtmlFormatter from pygments import highlight except ImportError: raise WorkflowError( "Python package pygments must be installed to create reports." ) language = ( "yaml" if".yaml") or".yml") else "json" ) lexer = get_lexer_by_name(language) with open( as f: return highlight(, lexer, HtmlFormatter(linenos=True, cssclass="source", wrapcode=True), )
[docs]class JobRecord: def __init__(self): self.job = None self.rule = None self.starttime = sys.maxsize self.endtime = 0 self.output = [] self.conda_env_file = None self.singularity_img_url = None
[docs]class FileRecord: def __init__(self, path, job, caption, env, category): self.path = path = os.path.basename(path) self.size = os.path.getsize(self.path)"Adding {} ({:.2g} MB).".format(, self.size / 1e6)) self.raw_caption = caption self.mime, _ = mime_from_file(self.path) = uuid.uuid4() self.job = job self.wildcards = logging.format_wildcards(job.wildcards) self.params = logging.format_dict(job.params) self.png_uri = None self.category = category if self.is_img: convert = shutil.which("convert") if convert is not None: try: # 2048 aims at a reasonable balance between what displays # can show in a png-preview image and what renders quick # into a small enough png max_width = "2048" max_height = "2048" # '>' means only larger images scaled down to within max-dimensions max_spec = max_width + "x" + max_height + ">" png = sp.check_output( ["convert", "-resize", max_spec, self.path, "png:-"], stderr=sp.PIPE, ) uri = data_uri( png, os.path.basename(self.path) + ".png", mime="image/png" ) self.png_uri = uri except sp.CalledProcessError as e: logger.warning( "Failed to convert image to png with " "imagemagick convert: {}".format(e.stderr) ) else: logger.warning( "Command convert not in $PATH. Install " "imagemagick in order to have embedded " "images and pdfs in the report." ) if self.is_table: if self.size > 1e6: logger.warning( "Table {} >1MB. Rendering as generic file.".format(self.path) ) else: with open(self.path) as table: dialect = None for prefix in range(10, 17): try: dialect = csv.Sniffer().sniff( break except csv.Error: pass except UnicodeDecodeError: # table is not readable as UTF-8 break if dialect is None: logger.warning( "Failed to infer CSV/TSV dialect from table {}. " "Rendering as generic file.".format(self.path) ) else: reader = csv.reader(table, dialect) columns = next(reader) table = map(lambda row: list(map(num_if_possible, row)), reader) template = env.get_template("table.html") html = template.render( columns=columns, table=table, ).encode() self.mime = "text/html" self.path = os.path.basename(self.path) + ".html" self.data_uri = data_uri(html, self.path, mime=self.mime) return # fallback self.data_uri = data_uri_from_file(path)
[docs] def render(self, env, rst_links, categories, files): if self.raw_caption is not None: try: from jinja2 import Template except ImportError as e: raise WorkflowError( "Python package jinja2 must be installed to create reports." ) job = self.job snakemake = Snakemake( job.input, job.output, job.params, job.wildcards, job.threads, job.resources, job.log, job.dag.workflow.config,, None, ) try: caption = open(self.raw_caption).read() + rst_links caption = env.from_string(caption).render( snakemake=snakemake, categories=categories, files=files ) self.caption = publish_parts(caption, writer_name="html")["body"] except Exception as e: raise WorkflowError( "Error loading caption file of output " "marked for report.", e )
@property def is_img(self): web_safe = { "image/gif", "image/jpeg", "image/png", "image/svg+xml", "application/pdf", } return self.mime in web_safe @property def is_text(self): return self.is_table or self.mime == "text/plain" @property def is_table(self): return self.mime in {"text/csv", "text/tab-separated-values"} @property def is_vega(self): return ( self.mime == "application/json" and self.path.endswith(".vl.json") or self.path.endswith(".vg.json") ) @property def icon(self): if self.is_img: return "image" elif self.is_text: return "file-text" else: return "file" @property def name(self): return os.path.basename(self.path)
[docs]def rulegraph_d3_spec(dag): try: import networkx as nx from networkx.drawing.nx_agraph import graphviz_layout from networkx.readwrite import json_graph except ImportError as e: raise WorkflowError( "Python packages networkx and pygraphviz must be " "installed to create reports.", e, ) g = nx.DiGraph() g.add_nodes_from(sorted( for job in for job in target = for dep in dag.dependencies[job]: source = g.add_edge(source, target) pos = graphviz_layout(g, "dot", args="-Grankdir=BT") xmax = max(x for x, y in pos.values()) + 100 # add offset to account for labels ymax = max(y for x, y in pos.values()) def encode_node(node): x, y = pos[node] return {"rule": node, "fx": x, "fy": y} nodes = list(map(encode_node, g.nodes)) idx = {node: i for i, node in enumerate(g.nodes)} links = [{"target": idx[u], "source": idx[v], "value": 1} for u, v in g.edges] return {"nodes": nodes, "links": links}, xmax, ymax
[docs]def get_resource_as_string(url): r = requests.get(url) if r.status_code == return r.text raise WorkflowError( "Failed to download resource needed for " "report: {}".format(url) )
[docs]def auto_report(dag, path): try: from jinja2 import Template, Environment, PackageLoader except ImportError as e: raise WorkflowError( "Python package jinja2 must be installed to create reports." ) if not path.endswith(".html"): raise WorkflowError("Report file does not end with .html")"Creating report...") env = Environment( loader=PackageLoader("snakemake", "report"), trim_blocks=True, lstrip_blocks=True, ) env.filters["get_resource_as_string"] = get_resource_as_string persistence = dag.workflow.persistence results = defaultdict(list) records = defaultdict(JobRecord) recorded_files = set() for job in for f in itertools.chain(job.expanded_output, job.input): if is_flagged(f, "report") and f not in recorded_files: if not f.exists: raise WorkflowError( "File {} marked for report but does " "not exist.".format(f) ) if os.path.isfile(f): report_obj = get_flag_value(f, "report") category = Category(report_obj.category) results[category].append( FileRecord(f, job, report_obj.caption, env, category) ) recorded_files.add(f) for f in job.expanded_output: meta = persistence.metadata(f) if not meta: logger.warning( "Missing metadata for file {}. Maybe metadata " "was deleted or it was created using an older " "version of Snakemake. This is a non critical " "warning.".format(f) ) continue try: job_hash = meta["job_hash"] rule = meta["rule"] rec = records[(job_hash, rule)] rec.rule = rule rec.job = job rec.starttime = min(rec.starttime, meta["starttime"]) rec.endtime = max(rec.endtime, meta["endtime"]) rec.conda_env_file = None rec.conda_env = meta["conda_env"] rec.singularity_img_url = meta["singularity_img_url"] rec.output.append(f) except KeyError as e: print(e) logger.warning( "Metadata for file {} was created with a too " "old Snakemake version.".format(f) ) for catresults in results.values(): catresults.sort(key=lambda res: # prepare runtimes runtimes = [ {"rule": rec.rule, "runtime": rec.endtime - rec.starttime} for rec in sorted(records.values(), key=lambda rec: rec.rule) ] # prepare end times timeline = [ { "rule": rec.rule, "starttime": datetime.datetime.fromtimestamp(rec.starttime).isoformat(), "endtime": datetime.datetime.fromtimestamp(rec.endtime).isoformat(), } for rec in sorted(records.values(), key=lambda rec: rec.rule) ] # prepare per-rule information rules = defaultdict(list) for rec in records.values(): rule = RuleRecord(rec.job, rec) if rec.rule not in rules: rules[rec.rule].append(rule) else: merged = False for other in rules[rec.rule]: if rule == other: other.add(rec) merged = True break if not merged: rules[rec.rule].append(rule) # rulegraph rulegraph, xmax, ymax = rulegraph_d3_spec(dag) # configfiles configfiles = [ConfigfileRecord(f) for f in dag.workflow.configfiles] seen = set() files = [ seen.add( or res for cat in results.values() for res in cat if not in seen ] rst_links = textwrap.dedent( """ .. _Results: #results .. _Rules: #rules .. _Statistics: #stats {% for cat, catresults in categories|dictsort %} .. _{{ }}: #{{ }} {% for res in files %} .. _{{ }}: #{{ }} {% endfor %} {% endfor %} .. _ """ ) for cat, catresults in results.items(): for res in catresults: res.render(env, rst_links, results, files) # global description text = "" if dag.workflow.report_text: with open(dag.workflow.report_text) as f: class Snakemake: config = dag.workflow.config text = + rst_links text = publish_parts( env.from_string(text).render( snakemake=Snakemake, categories=results, files=files ), writer_name="html", )["body"] # record time now = "{} {}".format(, time.tzname[0]) results_size = sum(res.size for cat in results.values() for res in cat) try: from pygments.formatters import HtmlFormatter except ImportError: raise WorkflowError( "Python package pygments must be installed to create reports." ) # render HTML template = env.get_template("report.html") with open(path, "w", encoding="utf-8") as out: out.write( template.render( results=results, results_size=results_size, configfiles=configfiles, text=text, rulegraph_nodes=rulegraph["nodes"], rulegraph_links=rulegraph["links"], rulegraph_width=xmax + 20, rulegraph_height=ymax + 20, runtimes=runtimes, timeline=timeline, rules=[rec for recs in rules.values() for rec in recs], version=__version__, now=now, pygments_css=HtmlFormatter(style="trac").get_style_defs(".source"), ) )"Report created.")