Using string.Template I want to store the values to substitute into the template in separate files that I can loop through.
Looping is the easy part. I then want to run
result = s.safe_substitute(title=titleVar, content=contentVar)
on my template. I’m just a little stumped in what format to store these values in a text file and how to read that file with python.
What you are looking for is call serialization. In this case, you want to serialize a dict, such as
values = dict(title='titleVar', content='contentVar')
There are may ways to serialize, using XML, pickle, YAML, JSON formats for example. Here is how you could do it with JSON:
import string
import json
values = dict(title='titleVar', content='contentVar')
with open('/tmp/values', 'w') as f:
json.dump(values, f)
with open('/tmp/values', 'r') as f:
newvals = json.load(f)
s = string.Template('''\
$title
$content''')
result = s.safe_substitute(newvals)
print(result)
Related
This is my first question here, I'm new to python and trying to figure some things out to set up an automatic 3D model processing chain that relies on data being stored in JSON files moving from one server to another.
The problem is that I need to store absolute paths to files that are being processed, but these absolute paths should be modified in the original JSON files upon the first time that they are processed.
Basically the JSON file comes in like this:
{
"normaldir": "D:\\Outgoing\\1621_1\\",
"projectdir": "D:\\Outgoing\\1622_2\\"
}
And I would like to rename the file paths to
{
"normaldir": "X:\\Incoming\\1621_1\\",
"projectdir": "X:\\Incoming\\1622_2\\",
}
What I've been trying to do is replace the first part of the path using this code, but it isn't working:
def processscan(scanfile):
configfile= MonitorDirectory + scanfile
with open(configfile, 'r+') as file:
content = file.read()
file.seek(0)
content.replace("D:\\Outgoing\\", "X:\\Incoming\\")
file.write(content)
However this was not working at all, so I tried interpreting the JSON file properly and replacing the key code from here:
def processscan(scanfile):
configfile= MonitorDirectory + scanfile
with open(configfile, 'r+') as settingsData:
settings = json.load(settingsData)
settings['normaldir'] = 'X:\\Incoming\\1621_1\\'
settings['projectdir'] = 'X:\\Incoming\\1622_2\\'
settingsData.seek(0) # rewind to beginning of file
settingsData.write(json.dumps(settings,indent=2,sort_keys=True)) #write the updated version
settingsData.truncate() #truncate the remainder of the data in the file
This works perfectly, however I'm replacing the whole path so it won't really work for every JSON file that I need to process. What I would really like to do is to take a JSON key corresponding to a file path, keep the last 8 characters and replace the rest of the patch with a new string, but I can't figure out how to do this using json in python, as far as I can tell I can't edit part of a key.
Does anyone have a workaround for this?
Thanks!
Your replace logic failed as you need to reassign content to the new string,str.replace is not an inplace operation, it creates a new string:
content = content.replace("D:\\Outgoing\\", "X:\\Incoming\\")
Using the json approach just do a replace too, using the current value:
settings['normaldir'] = settings['normaldir'].replace("D:\\Outgoing\\", "X:\\Incoming\\")
You also would want truncate() before you write or just reopen the file with w and dump/write the new value, if you really wanted to just keep the last 8 chars and prepend a string:
settings['normaldir'] = "X:\\Incoming\\" + settings['normaldir'][-8:]
Python come with a json library.
With this library, you can read and write JSON files (or JSON strings).
Parsed data is converted to Python objects and vice versa.
To use the json library, simply import it:
import json
Say your data is stored in input_data.json file.
input_data_path = "input_data.json"
You read the file like this:
import io
with io.open(input_data_path, mode="rb") as fd:
obj = json.load(fd)
or, alternatively:
with io.open(input_data_path, mode="rb") as fd:
content = fd.read()
obj = json.loads(content)
Your data is automatically converted into Python objects, here you get a dict:
print(repr(obj))
# {u'projectdir': u'D:\\Outgoing\\1622_2\\',
# u'normaldir': u'D:\\Outgoing\\1621_1\\'}
note: I'm using Python 2.7 so you get the unicode string prefixed by "u", like u'projectdir'.
It's now easy to change the values for normaldir and projectdir:
obj["normaldir"] = "X:\\Incoming\\1621_1\\"
obj["projectdir"] = "X:\\Incoming\\1622_2\\"
Since obj is a dict, you can also use the update method like this:
obj.update({'normaldir': "X:\\Incoming\\1621_1\\",
'projectdir': "X:\\Incoming\\1622_2\\"})
That way, you use a similar syntax like JSON.
Finally, you can write your Python object back to JSON file:
output_data_path = "output_data.json"
with io.open(output_data_path, mode="wb") as fd:
json.dump(obj, fd)
or, alternatively with indentation:
content = json.dumps(obj, indent=True)
with io.open(output_data_path, mode="wb") as fd:
fd.write(content)
Remarks: reading/writing JSON objects is faster with a buffer (the content variable).
.replace returns a new string, and don't change it. But you should not treat json-files as normal text files, so you can combine parsing json with replace:
def processscan(scanfile):
configfile= MonitorDirectory + scanfile
with open(configfile, 'rb') as settingsData:
settings = json.load(settingsData)
settings = {k: v.replace("D:\\Outgoing\\", "X:\\Incoming\\")
for k, v in settings.items()
}
with open(configfile, 'wb') as settingsData:
json.dump(settings, settingsData)
Since the Json And Pickle methods aren't working out, i've decided to save my dictionaries as strings, and that works, but they arent being read.
I.E
Dictionary
a={'name': 'joe'}
Save:
file = open("save.txt", "w")
file.write(str(a))
file.close()
And that works.
But my load method doesn't read it.
Load:
f = open("save.txt", "r")
a = f
f.close()
So, it just doesn't become f.
I really don't want to use json or pickle, is there any way I could get this method working?
First, you're not actually reading anything from the file (the file is not its contents). Second, when you fix that, you're going to get a string and need to transform that into a dictonary.
Fortunately both are straightforward to address....
from ast import literal_eval
with open("save.txt") as infile:
data = literal_eval(infile.read())
I am downloading Json files from an API, I use the following code to write the JSON. Each item the loop gives me a JSON file. I need to save it and extract entities from the appended JSON file using a loop.
for item in style_ls:
dat = get_json(api, item)
specs_dict[item] = dat
with open("specs_append.txt", "a") as myfile:
json.dump(dat, myfile)
myfile.close()
print item
with open ("specs_data.txt", "w") as my file:
json.dump(spec_dict, myfile)
myfile.close()
I know that I cannot get a valid JSON format from the specs_append.txt, but I can get one from the specs_data.txt. I am doing the first one just because my program needs atleast 3-4 days to complete and there are high chances that my system may shutdown. So is there anyway I can do this efficiently ?
If not is there anyway I can extract it from specs_append.txt <{JSON}{JSON}> format (which is not a valid JSON format)?
If not should I write specs_dict to a txt file every time in the loop, so that even if program gets terminated i can start if from that point in loop and still get a valid json format?
I suggest several possible solutions.
One solution is to write custom code to slurp in the input file. I would suggest putting a special line before each JSON object in the file, such as: ###
Then you could write code like this:
import json
def json_get_objects(f):
temp = ''
line = next(f) # pull first line
assert line == SPECIAL_LINE
for line in f:
if line != SPECIAL_LINE:
temp += line
else:
# found special marker, temp now contains a complete JSON object
j = json.loads(temp)
yield j
temp = ''
# after loop done, yield up last JSON object
if temp:
j = json.loads(temp)
yield j
with open("specs_data.txt", "r") as f:
for j in json_get_objects(f):
pass # do something with JSON object j
Two notes on this. First, I am simply appending to a string over and over; this used to be a very slow way to do this in Python, so if you are using a very old version of Python, don't do it this way unless your JSON objects are very small. Second, I wrote code to split the input and yield up JSON objects one at a time, but you could also use a guaranteed-unique string, slurp in all the data with a single call to f.read() and then split on your guaranteed-unique string using the str.split() method function.
Another solution would be to write the whole file as a valid JSON list of valid JSON objects. Write the file like this:
{"mylist":[
# first JSON object, followed by a comma
# second JSON object, followed by a comma
# third JSON object
]}
This would require your file appending code to open the file with writing permission, and seek to the last ] in the file before writing a comma plus newline, then the new JSON object on the end, and then finally writing ]} to close out the file. If you do it this way, you can use json.loads() to slurp the whole thing in and have a list of JSON objects.
Finally, I suggest that maybe you should just use a database. Use SQLite or something and just throw the JSON strings in to a table. If you choose this, I suggest using an ORM to make your life simple, rather than writing SQL commands by hand.
Personally, I favor the first suggestion: write in a special line like ###, then have custom code to split the input on those marks and then get the JSON objects.
EDIT: Okay, the first suggestion was sort of assuming that the JSON was formatted for human readability, with a bunch of short lines:
{
"foo": 0,
"bar": 1,
"baz": 2
}
But it's all run together as one big long line:
{"foo":0,"bar":1,"baz":2}
Here are three ways to fix this.
0) write a newline before the ### and after it, like so:
###
{"foo":0,"bar":1,"baz":2}
###
{"foo":0,"bar":1,"baz":2}
Then each input line will alternately be ### or a complete JSON object.
1) As long as SPECIAL_LINE is completely unique (never appears inside a string in the JSON) you can do this:
with open("specs_data.txt", "r") as f:
temp = f.read() # read entire file contents
lst = temp.split(SPECIAL_LINE)
json_objects = [json.loads(x) for x in lst]
for j in json_objects:
pass # do something with JSON object j
The .split() method function can split up the temp string into JSON objects for you.
2) If you are certain that each JSON object will never have a newline character inside it, you could simply write JSON objects to the file, one after another, putting a newline after each; then assume that each line is a JSON object:
import json
def json_get_objects(f):
for line in f:
if line.strip():
yield json.loads(line)
with open("specs_data.txt", "r") as f:
for j in json_get_objects(f):
pass # do something with JSON object j
I like the simplicity of option (2), but I like the reliability of option (0). If a newline ever got written in as part of a JSON object, option (0) would still work, but option (2) would error.
Again, you can also simply use an actual database (SQLite) with an ORM and let the database worry about the details.
Good luck.
Append json data to a dict on every loop.
In the end dump this dict as a json and write it to a file.
For getting you an idea for appending data to dict:
>>> d1 = {'suku':12}
>>> t1 = {'suku1':212}
>>> d1.update(t1)
>>> d1
{'suku1': 212, 'suku': 12}
I'm trying to write some code to create a file that will write data about a "character". I've been able to write strings using:
f = open('player.txt','w')
f.write("Karatepig")
f.close()
f = open('player.txt','r')
f.read()
The issue is, how do I store something other than a string to a file? Can I convert it from a string to a value?
Files can only store strings, so you have to convert other values to strings when writing, and converting them back to original values when reading.
The Python standard library has a whole section dedicated to data persistence that can help make this task easier.
However, for simple types, it is perhaps easiest to use the json module to serialize data to a file and read it back again with ease:
import json
def write_data(data, filename):
with open(filename, 'w') as outfh:
json.dump(data, outfh)
def read_data(filename):
with open(filename, 'r') as infh:
json.load(infh)
I am making an utility of sorts with dictionary. What I am trying to achieve is this:
for each XML file that I parse, the existing dictionary is loaded from a file (output.dict) and compared/updated for the current key and stored back along with existing values. I tried with has_key() and attributerror, it does not work.
Since I trying one file at a time, it creates multiple dictionaries and am unable to compare. This is where I am stuck.
def createUpdateDictionary(servicename, xmlfile):
dictionary = {}
if path.isfile == 'output.dict':
dictionary.update (eval(open('output.dict'),'r'))
for event, element in etree.iterparse(xmlfile):
dictionary.setdefault(servicename, []).append(element.tag)
f = open('output.dict', 'a')
write_dict = str(dictionary2)
f.write(write_dict)
f.close()
(here the servicename is nothing but a split '.' of xmlfile which forms the key and values are nothing by the element's tag name)
def createUpdateDictionary(servicename, xmlfile):
dictionary = {}
if path.isfile == 'output.dict':
dictionary.update (eval(open('output.dict'),'r'))
There is a typo, as the 'r' argument belongs to open(), not eval(). Furthermore, you cannot evaluate a file object as returned by open(), you have to read() the contents first.
f = open('output.dict', 'a')
write_dict = str(dictionary2)
f.write(write_dict)
f.close()
Here, you are appending the string representation to the file. The string representation is not guaranteed to represent the dictionary completely. It is meant to be readable by humans to allow inspection, not to persist the data.
Moreover, since you are using 'a' to append the data, you are storing multiple copies of the updated dictionary in the file. Your file might look like:
{}{"foo": []}{"foo": [], "bar":[]}
This is clearly not what you want; you won't even by able to eval() it later (syntax error!).
Since eval() will execute arbitrary Python code, it is considered evil and you really should not use it for object serialization. Either use pickle, which is the standard way of serialization in Python, or use json, which is a human-readable standard format supported by other languages as well.
import json
def createUpdateDictionary(servicename, xmlfile):
with open('output.dict', 'r') as fp:
dictionary = json.load(fp)
# ... process XML, update dictionary ...
with open('output.dict', 'w') as fp:
json.dump(dictionary, fp)