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book.py
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book.py
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import os
import sys
def prepender(filename, line):
with open(filename, 'r+') as f:
content = f.read()
f.seek(0, 0)
f.write(line.rstrip('\r\n') + '\n' + content)
def notebook(base, directory="notebooks"):
data = {
'base': base,
'dir': directory
}
os.system("cd {dir}; ipython nbconvert {base}.ipynb --to rst".format(**data))
os.system("cd {dir}; pandoc {base}.rst -o {base}.tex".format(**data))
def convert (base, format, from_dir, to_dir):
print (base, format, from_dir, to_dir)
data = {
'base': base,
'format': format,
'to': to_dir,
'from': from_dir,
'start': "\\begin{fileremark}\\url{https://github.com/cloudmesh/classes/blob/master/docs/source/",
'stop': "}\\end{fileremark}"
}
os.system("mkdir -p {to}".format(**data))
os.system("rm -f {to}/{base}.{format}".format(**data))
os.system("cp ~/github/cloudmesh/classes/docs/source/{from}/{base}.{format} {to}".format(**data))
os.system("sed -i -- 's/.. code:: python/::/g' {to}/{base}.{format}".format(**data))
os.system("pandoc {to}/{base}.{format} -o {to}/{base}.tex".format(**data))
prepender("{to}/{base}.tex".format(**data),
'{start}{from}/{base}.{format}{stop}\n'.format(**data))
######################################################################
# Writing
######################################################################
for lesson in [
["report-book", "lesson/doc", "rst", "chapter/lesson/doc"],
["report", "lesson/doc", "rst", "chapter/lesson/doc"],
["latex", "lesson/doc", "rst", "chapter/lesson/doc"],
["bibtex", "lesson/doc", "rst", "chapter/lesson/doc"],
["emacs", "lesson/doc", "rst", "chapter/lesson/doc"],
["rst", "lesson/doc", "rst", "chapter/lesson/doc"],
["markdown", "lesson/doc", "rst", "chapter/lesson/doc"],
["type", "lesson/doc", "rst", "chapter/lesson/doc"],
]:
convert(lesson[0], lesson[2], lesson[1], lesson[3])
######################################################################
# CLOUD LECTURES
######################################################################
for lesson in [
["fundamentals", "icloud/2017/course", "rst"],
["iaas", "icloud/2017/course", "rst"],
["mapreduce", "icloud/2017/course", "rst"],
["iterative-mapreduce", "icloud/2017/course", "rst"],
["nosql", "icloud/2017/course", "rst"],
["iot", "icloud/2017/course", "rst"],
["saas", "icloud/2017/course", "rst"],
]:
convert(lesson[0], lesson[2], lesson[1], "chapter/cloud")
for lesson in [
["index", "icloud/2017/assignment", "rst", "chapter/cloud/assignment"],
["index", "icloud/2017/evaluation", "rst", "chapter/cloud/evaluation"],
["index", "icloud/2017/participation", "rst", "chapter/cloud/participation"]
]:
convert(lesson[0], lesson[2], lesson[1], lesson[3])
'''
assignment/index.rst
evaluation/index.rst
participation/index.rst
'''
######################################################################
# ipynb
######################################################################
os.system("cp -r ~/github/cloudmesh/classes/docs/source/notebooks .")
for n in ["fingerprint_matching", "facedetection", "scikit-learn-k-means"]:
notebook(n, "notebooks")
######################################################################
# i523 theory
######################################################################
convert("cloud", "rst", "i523/2017/course","chapter/theory")
convert("clustering", "rst", "i523/2017/course","chapter/theory")
convert("health", "rst", "i523/2017/course","chapter/theory")
convert("introduction", "rst", "i523/2017/course","chapter/theory")
convert("lifestyle", "rst", "i523/2017/course","chapter/theory")
convert("overview", "rst", "i523/2017/course","chapter/theory")
convert("physics", "rst", "i523/2017/course","chapter/theory")
convert("python-tech", "rst", "i523/2017/course","chapter/theory")
convert("python", "rst", "i523/2017/course","chapter/theory")
convert("radar", "rst", "i523/2017/course","chapter/theory")
convert("sensor", "rst", "i523/2017/course","chapter/theory")
convert("sport", "rst", "i523/2017/course","chapter/theory")
convert("technology", "rst", "i523/2017/course","chapter/theory")
convert("usecases", "rst", "i523/2017/course","chapter/theory")
convert("web", "rst", "i523/2017/course","chapter/theory")
######################################################################
# i523 preface
######################################################################
convert("about", "rst", "i524/2017/preface", "chapter/intro")
convert("preface", "rst", "i523/2017", "chapter/intro")
convert("overview", "rst", "i523/2017", "chapter/intro")
convert("disclaimer", "rst", "i524/2017/preface", "chapter/intro")
convert("fall2017", "rst", "i523/2017", "chapter/intro")
convert("project", "rst", "i523/2017", "chapter/intro")
convert("assignments", "rst", "i523/2017", "chapter/intro")
convert("git", "rst", "i523/2017", "chapter/intro")
convert("organization", "rst", "i523/2017", "chapter/intro")
######################################################################
# i523 practice
######################################################################
for lesson in [
["linux", "lesson/linux"],
["virtualbox", "lesson/linux"],
["code", "i523/2017"],
["iot","i523/2017"]
]:
convert(lesson[0], "rst", lesson[1], "chapter/lesson")
######################################################################
# i523 iot
######################################################################
# ["pi", "chapter/lesson/iot/pi/pi", "md"],
for lesson in [
["introduction", "lesson/iot", "md"],
["hardware", "lesson/iot", "md"],
["projects", "lesson/iot", "md"],
["esp8266", "lesson/iot/esp8266", "md"],
["pi", "lesson/iot/pi", "md"],
["dexter", "lesson/iot/pi", "md"],
["grovepi", "lesson/iot/pi", "md"],
["sensors", "lesson/iot/pi", "md"],
["vnc", "lesson/iot/pi", "md"],
["turtle", "lesson/iot", "md"],
["tools", "lesson/iot", "md"],
]:
convert(lesson[0], lesson[2], lesson[1], "chapter/lesson/iot")
######################################################################
# i523 python
######################################################################
for lesson in [
["python-intro", "lesson/prg"],
["python-install", "lesson/prg"],
["python", "lesson/prg"],
]:
convert(lesson[0], "rst", lesson[1], "chapter/prg")
'''
lessons:
$(call copy_lesson,communication,piazza.rst,piazza.tex)
$(call copy_lesson,contrib,contributing.rst,contributing.tex)
$(call copy_lesson,prg,python.rst,python.tex)
$(call copy_lesson,prg,python-cmd5.rst,python-cmd5.tex)
images:
cp -r ~/github/cloudmesh/classes/docs/source/images ../..
none:
echo none
# $(call generate_from_rst,convention,i524/2017/preface/)
#../../lesson/communication/piazza
# ../../lesson/contrib/contributing
'''