From e3a7b12a793ef6af2d86cd70d316d418d760b69d Mon Sep 17 00:00:00 2001 From: Felix Martin Date: Sun, 24 Nov 2019 13:28:23 -0500 Subject: [PATCH] Finished week 1. --- .gitignore | 2 + anyint/_coursera | 3 + anyint/handout.pdf | Bin 0 -> 86565 bytes anyint/solver.py | 10 + anyint/submit.py | 456 ++ discrete_optimization.sublime-project | 8 + knapsack/Solver.java | 91 + knapsack/_coursera | 8 + knapsack/data/ks_10000_0 | 10001 ++++++++++++++++++++++++ knapsack/data/ks_1000_0 | 1001 +++ knapsack/data/ks_100_0 | 101 + knapsack/data/ks_100_1 | 101 + knapsack/data/ks_100_2 | 101 + knapsack/data/ks_106_0 | 107 + knapsack/data/ks_19_0 | 20 + knapsack/data/ks_200_0 | 201 + knapsack/data/ks_200_1 | 201 + knapsack/data/ks_300_0 | 301 + knapsack/data/ks_30_0 | 31 + knapsack/data/ks_400_0 | 401 + knapsack/data/ks_40_0 | 41 + knapsack/data/ks_45_0 | 46 + knapsack/data/ks_4_0 | 5 + knapsack/data/ks_500_0 | 501 ++ knapsack/data/ks_50_0 | 51 + knapsack/data/ks_50_1 | 51 + knapsack/data/ks_60_0 | 61 + knapsack/data/ks_82_0 | 83 + knapsack/data/ks_lecture_dp_1 | 4 + knapsack/data/ks_lecture_dp_2 | 6 + knapsack/handout.pdf | Bin 0 -> 140485 bytes knapsack/solver.py | 51 + knapsack/solverJava.py | 37 + knapsack/submit.py | 456 ++ 34 files changed, 14538 insertions(+) create mode 100644 .gitignore create mode 100644 anyint/_coursera create mode 100644 anyint/handout.pdf create mode 100644 anyint/solver.py create mode 100755 anyint/submit.py create mode 100644 discrete_optimization.sublime-project create mode 100644 knapsack/Solver.java create mode 100644 knapsack/_coursera create mode 100644 knapsack/data/ks_10000_0 create mode 100644 knapsack/data/ks_1000_0 create mode 100644 knapsack/data/ks_100_0 create mode 100644 knapsack/data/ks_100_1 create mode 100644 knapsack/data/ks_100_2 create mode 100644 knapsack/data/ks_106_0 create mode 100644 knapsack/data/ks_19_0 create mode 100644 knapsack/data/ks_200_0 create mode 100644 knapsack/data/ks_200_1 create mode 100644 knapsack/data/ks_300_0 create mode 100644 knapsack/data/ks_30_0 create mode 100644 knapsack/data/ks_400_0 create mode 100644 knapsack/data/ks_40_0 create mode 100644 knapsack/data/ks_45_0 create mode 100644 knapsack/data/ks_4_0 create mode 100644 knapsack/data/ks_500_0 create mode 100644 knapsack/data/ks_50_0 create mode 100644 knapsack/data/ks_50_1 create mode 100644 knapsack/data/ks_60_0 create mode 100644 knapsack/data/ks_82_0 create mode 100644 knapsack/data/ks_lecture_dp_1 create mode 100644 knapsack/data/ks_lecture_dp_2 create mode 100644 knapsack/handout.pdf create mode 100755 knapsack/solver.py create mode 100644 knapsack/solverJava.py create mode 100755 knapsack/submit.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..cd43d3e --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +*.sublime-workspace +__pycache__ diff --git a/anyint/_coursera b/anyint/_coursera new file mode 100644 index 0000000..e890b2b --- /dev/null +++ b/anyint/_coursera @@ -0,0 +1,3 @@ +heD35Vv_EeajDAoJAOJJEw 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zMNN4n2n;RH43@t6n3nsavoHG9oSe(M;?v2c(iQTpvN oOfhto2&UW%&zP8Y|2x0|SO*L?7()rE5@qcW24P_>LnOmL0C{kaT>t<8 literal 0 HcmV?d00001 diff --git a/anyint/solver.py b/anyint/solver.py new file mode 100644 index 0000000..212f49f --- /dev/null +++ b/anyint/solver.py @@ -0,0 +1,10 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- + +def solve_it(input_data): + # return a positive integer, as a string + return '10' + +if __name__ == '__main__': + print('This script submits the integer: %s\n' % solve_it('')) + diff --git a/anyint/submit.py b/anyint/submit.py new file mode 100755 index 0000000..c0bf744 --- /dev/null +++ b/anyint/submit.py @@ -0,0 +1,456 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- + +from __future__ import print_function + +import json +import time +import os +from collections import namedtuple + + +# Python 2/3 compatibility +# Python 2: +try: + from urlparse import urlparse + from urllib import urlencode + from urllib2 import urlopen, Request, HTTPError +except: + pass + +# Python 3: +try: + from urllib.parse import urlparse, urlencode + from urllib.request import urlopen, Request + from urllib.error import HTTPError +except: + pass + +import sys +# Python 2: +if sys.version_info < (3, 0): + def input(str): + return raw_input(str) + +# Python 3, backward compatibility with unicode test +if sys.version_info >= (3, 0): + unicode = type(str) + +version = '1.0.0' +submitt_url = \ + 'https://www.coursera.org/api/onDemandProgrammingScriptSubmissions.v1' + +Metadata = namedtuple("Metadata", ['assignment_key', 'name', 'part_data']) +Part = namedtuple("Part", ['id', 'input_file', 'solver_file', 'name']) + + +def load_metadata(metadata_file_name='_coursera'): + ''' + Parses an assignment metadata file + + Args: + metadata_file_name (str): location of the metadata file + + Returns: + metadata as a named tuple structure + ''' + + if not os.path.exists(metadata_file_name): + print('metadata file "%s" not found' % metadata_file_name) + quit() + + try: + with open(metadata_file_name, 'r') as metadata_file: + url = metadata_file.readline().strip() + name = metadata_file.readline().strip() + part_data = [] + for line in metadata_file.readlines(): + if ',' in line: + line_parts = line.split(',') + line_parts = [x.strip() for x in line_parts] + assert(len(line_parts) == 4) + part_data.append(Part(*line_parts)) + if len(url) <= 0: + print('Empty url in _coursera file: %s' % metadata_file_name) + quit() + if len(name) <= 0: + print('Empty assignment name in _coursera file: %s' % metadata_file_name) + quit() + except Exception as e: + print('problem parsing assignment metadata file') + print('exception message:') + print(e) + quit() + + return Metadata(url, name, part_data) + + +def part_prompt(problems): + ''' + Prompts the user for which parts of the assignment they would like to + submit. + + Args: + problems: a list of assignment problems + + Returns: + the selected subset of problems + ''' + + count = 1 + print('Hello! These are the assignment parts that you can submit:') + for i, problem in enumerate(problems): + print(str(count) + ') ' + problem.name) + count += 1 + print('0) All') + + part_text = input('Please enter which part(s) you want to submit (0-%d): ' % (count-1)) + selected_problems = [] + selected_models = [] + + for item in part_text.split(','): + try: + i = int(item) + except: + print('Skipping input "' + item + '". It is not an integer.') + continue + + if i >= count or i < 0: + print('Skipping input "' + item + '". It is out of the valid range (0-%d).' % (count-1)) + continue + + if i == 0: + selected_problems.extend(problems) + continue + + if i <= len(problems): + selected_problems.append(problems[i-1]) + + if len(selected_problems) <= 0: + print('No valid assignment parts identified. Please try again. \n') + return part_prompt(problems) + else: + return selected_problems + + +def compute(metadata, solver_file_override=None): + ''' + Determines which assignment parts the student would like to submit. + Then computes his/her answers to those assignment parts + + Args: + metadata: the assignment metadata + solver_file_override: an optional model file to override the metadata + default + + Returns: + a dictionary of results in the format Coursera expects + ''' + + if solver_file_override is not None: + print('Overriding solver file with: '+solver_file_override) + + selected_problems = part_prompt(metadata.part_data) + + results = {} + + #submission needs empty dict for every assignment part + results.update({prob_data.id : {} for prob_data in metadata.part_data}) + + for problem in selected_problems: + if solver_file_override != None: + solver_file = solver_file_override + else: + solver_file = problem.solver_file + + if not os.path.isfile(solver_file): + print('Unable to locate assignment file "%s" in the current working directory.' % solver_file) + continue + + # if a relative path is given, add that patth to system path so import will work + if os.path.sep in solver_file: + split = solver_file.rfind(os.path.sep) + path = solver_file[0:split] + file_name = solver_file[split+1:] + sys.path.insert(0, path) + solver_file = file_name + + submission = output(problem.input_file, solver_file) + if submission != None: + results[problem.id] = {'output':submission} + + print('\n== Computations Complete ...') + + return results + + +def load_input_data(file_location): + with open(file_location, 'r') as input_data_file: + input_data = ''.join(input_data_file.readlines()) + return input_data + + +def output(input_file, solver_file): + ''' + Attempts to execute solve_it locally on a given input file. + + Args: + input_file: the assignment problem data of interest + solver_file: a python file containing the solve_it function + + Returns: + the submission string in a format that the grader expects + ''' + + try: + pkg = __import__(solver_file[:-3]) # remove '.py' extension + if not hasattr(pkg, 'solve_it'): + print('the solve_it() function was not found in %s' % solver_file) + quit() + except ImportError: + print('import error with python file "%s".' % solver_file) + quit() + + + solution = '' + + start = time.clock() + try: + solution = pkg.solve_it(load_input_data(input_file)) + except Exception as e: + print('the solve_it(input_data) method from solver.py raised an exception') + print('try testing it with python ./solver.py before running this submission script') + print('exception message:') + print(str(e)) + print('') + return 'Local Exception =(' + end = time.clock() + + if not (isinstance(solution, str) or isinstance(solution, unicode)): + print('Warning: the solver did not return a string. The given object will be converted with the str() method.') + solution = str(solution) + + print('Submitting: ') + print(solution) + + return solution.strip() + '\n' + str(end - start) + + +def login_dialog(assignment_key, results, credentials_file_location = '_credentials'): + ''' + Requests Coursera login credentials from the student and submits the + student's solutions for grading + + Args: + assignment_key: Coursera's assignment key + results: a dictionary of results in Cousera's format + credentials_file_location: a file location where login credentials can + be found + ''' + + success = False + tries = 0 + + while not success: + + # stops infinate loop when credentials file is incorrect + if tries <= 0: + login, token = login_prompt(credentials_file_location) + else: + login, token = login_prompt('') + + code, responce = submit_solution(assignment_key, login, token, results) + + print('\n== Coursera Responce ...') + #print(code) + print(responce) + + if code != 401: + success = True + else: + print('\ntry logging in again') + tries += 1 + +def login_prompt(credentials_file_location): + ''' + Attempts to load credentials from a file, if that fails asks the user. + Returns: + the user's login and token + ''' + + if os.path.isfile(credentials_file_location): + try: + with open(credentials_file_location, 'r') as metadata_file: + login = metadata_file.readline().strip() + token = metadata_file.readline().strip() + metadata_file.close() + except: + login, token = basic_prompt() + else: + login, token = basic_prompt() + return login, token + + +def basic_prompt(): + ''' + Prompt the user for login credentials. + Returns: + the user's login and token + ''' + login = input('User Name (e-mail address): ') + token = input('Submission Token (from the assignment page): ') + return login, token + + +def submit_solution(assignment_key, email_address, token, results): + ''' + Sends the student's submission to Coursera for grading via the submission + API. + + Args: + assignment_key: Coursera's assignment key + email_address: the student's email + token: the student's assignment token + results: a dictionary of results in Cousera's format + + Returns: + the https response code and a feedback message + ''' + + print('\n== Connecting to Coursera ...') + print('Submitting %d of %d parts' % + (sum(['output' in v for k,v in results.items()]), len(results))) + + # build json datastructure + parts = {} + submission = { + 'assignmentKey': assignment_key, + 'submitterEmail': email_address, + 'secret': token, + 'parts': results + } + + # send submission + req = Request(submitt_url) + req.add_header('Cache-Control', 'no-cache') + req.add_header('Content-type', 'application/json') + + try: + res = urlopen(req, json.dumps(submission).encode('utf8')) + except HTTPError as e: + responce = json.loads(e.read().decode('utf8')) + + if 'details' in responce and responce['details'] != None and \ + 'learnerMessage' in responce['details']: + return e.code, responce['details']['learnerMessage'] + else: + return e.code, 'Unexpected response code, please contact the ' \ + 'course staff.\nDetails: ' + responce['message'] + + code = res.code + responce = json.loads(res.read().decode('utf8')) + + if code >= 200 and code <= 299: + return code, 'Your submission has been accepted and will be ' \ + 'graded shortly.' + + return code, 'Unexpected response code, please contact the '\ + 'course staff.\nDetails: ' + responce + + +def main(args): + ''' + 1) Reads a metadata file to customize the submission process to + a particular assignment. + 2) The compute the student's answers to the assignment parts. + 3) Submits the student's answers for grading. + + Provides the an option for saving the submissions locally. This is very + helpful when testing the assignment graders. + + Args: + args: CLI arguments from an argparse parser + ''' + + # needed so that output can import from the cwd + sys.path.append(os.getcwd()) + + if args.metadata is None: + metadata = load_metadata() + else: + print('Overriding metadata file with: '+args.metadata) + metadata = load_metadata(args.metadata) + + print('==\n== '+metadata.name+' Solution Submission \n==') + + # compute dialog + results = compute(metadata, args.override) + + if sum(['output' in v for k,v in results.items()]) <= 0: + return + + # store submissions if requested + if args.record_submission == True: + print('Recording submission as files') + for sid, submission in results.items(): + if 'output' in submission: + directory = '_'+sid + if not os.path.exists(directory): + os.makedirs(directory) + + submission_file_name = directory+'/submission.sub' + print(' writting submission file: '+submission_file_name) + with open(submission_file_name,'w') as submission_file: + submission_file.write(submission['output']) + submission_file.close() + return + + # submit dialog + if args.credentials is None: + login_dialog(metadata.assignment_key, results) + else: + print('Overriding credentials file with: '+args.credentials) + login_dialog(metadata.assignment_key, results, args.credentials) + + + +import argparse +def build_parser(): + ''' + Builds an argument parser for the CLI + + Returns: + parser: an argparse parser + ''' + + parser = argparse.ArgumentParser( + description='''The submission script for Discrete Optimization + assignments on the Coursera Platform.''', + epilog='''Please file bugs on github at: + https://github.com/discreteoptimization/assignment/issues. If you + would like to contribute to this tool's development, check it out at: + https://github.com/discreteoptimization/assignment''' + ) + + parser.add_argument('-v', '--version', action='version', + version='%(prog)s '+version) + + parser.add_argument('-o', '--override', + help='overrides the python source file specified in the \'_coursera\' file') + + parser.add_argument('-m', '--metadata', + help='overrides the \'_coursera\' metadata file') + + parser.add_argument('-c', '--credentials', + help='overrides the \'_credentials\' credentials file') + + parser.add_argument('-rs', '--record_submission', + help='records the submission(s) as files', action='store_true') + + return parser + + +if __name__ == '__main__': + parser = build_parser() + main(parser.parse_args()) + diff --git a/discrete_optimization.sublime-project b/discrete_optimization.sublime-project new file mode 100644 index 0000000..24db303 --- /dev/null +++ b/discrete_optimization.sublime-project @@ -0,0 +1,8 @@ +{ + "folders": + [ + { + "path": "." + } + ] +} diff --git a/knapsack/Solver.java b/knapsack/Solver.java new file mode 100644 index 0000000..07ffdcd --- /dev/null +++ b/knapsack/Solver.java @@ -0,0 +1,91 @@ +import java.io.*; +import java.util.List; +import java.util.ArrayList; + +/** + * The class Solver is an implementation of a greedy algorithm to solve the knapsack problem. + * + */ +public class Solver { + + /** + * The main class + */ + public static void main(String[] args) { + try { + solve(args); + } catch (IOException e) { + e.printStackTrace(); + } + } + + /** + * Read the instance, solve it, and print the solution in the standard output + */ + public static void solve(String[] args) throws IOException { + String fileName = null; + + // get the temp file name + for(String arg : args){ + if(arg.startsWith("-file=")){ + fileName = arg.substring(6); + } + } + if(fileName == null) + return; + + // read the lines out of the file + List lines = new ArrayList(); + + BufferedReader input = new BufferedReader(new FileReader(fileName)); + try { + String line = null; + while (( line = input.readLine()) != null){ + lines.add(line); + } + } + finally { + input.close(); + } + + + // parse the data in the file + String[] firstLine = lines.get(0).split("\\s+"); + int items = Integer.parseInt(firstLine[0]); + int capacity = Integer.parseInt(firstLine[1]); + + int[] values = new int[items]; + int[] weights = new int[items]; + + for(int i=1; i < items+1; i++){ + String line = lines.get(i); + String[] parts = line.split("\\s+"); + + values[i-1] = Integer.parseInt(parts[0]); + weights[i-1] = Integer.parseInt(parts[1]); + } + + // a trivial greedy algorithm for filling the knapsack + // it takes items in-order until the knapsack is full + int value = 0; + int weight = 0; + int[] taken = new int[items]; + + for(int i=0; i < items; i++){ + if(weight + weights[i] <= capacity){ + taken[i] = 1; + value += values[i]; + weight += weights[i]; + } else { + taken[i] = 0; + } + } + + // prepare the solution in the specified output format + System.out.println(value+" 0"); + for(int i=0; i < items; i++){ + System.out.print(taken[i]+" "); + } + System.out.println(""); + } +} \ No newline at end of file diff --git a/knapsack/_coursera b/knapsack/_coursera new file mode 100644 index 0000000..3c38267 --- /dev/null +++ b/knapsack/_coursera @@ -0,0 +1,8 @@ +_le-pVv_EeasJA5dVmWj2w +Knapsack +awPVV, ./data/ks_30_0, solver.py, Knapsack Problem 1 +hHYWS, ./data/ks_50_0, solver.py, Knapsack Problem 2 +JwWnx, ./data/ks_200_0, solver.py, Knapsack Problem 3 +Z2tMt, ./data/ks_400_0, solver.py, Knapsack Problem 4 +PUIxa, ./data/ks_1000_0, solver.py, Knapsack Problem 5 +AKXWc, ./data/ks_10000_0, solver.py, Knapsack Problem 6 diff --git a/knapsack/data/ks_10000_0 b/knapsack/data/ks_10000_0 new file mode 100644 index 0000000..462213b --- /dev/null +++ b/knapsack/data/ks_10000_0 @@ -0,0 +1,10001 @@ +10000 1000000 +122416 120553 +171513 179530 +71709 76916 +30363 28113 +131225 120582 +33759 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Please select one from the data directory. (i.e. python solver.py ./data/ks_4_0)') + diff --git a/knapsack/solverJava.py b/knapsack/solverJava.py new file mode 100644 index 0000000..940cdf7 --- /dev/null +++ b/knapsack/solverJava.py @@ -0,0 +1,37 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- + +import os +from subprocess import Popen, PIPE + +def solve_it(input_data): + + # Writes the inputData to a temporay file + + tmp_file_name = 'tmp.data' + tmp_file = open(tmp_file_name, 'w') + tmp_file.write(input_data) + tmp_file.close() + + # Runs the command: java Solver -file=tmp.data + + process = Popen(['java', 'Solver', '-file=' + tmp_file_name], stdout=PIPE) + (stdout, stderr) = process.communicate() + + # removes the temporay file + os.remove(tmp_file_name) + + return stdout.strip() + + +import sys + +if __name__ == '__main__': + if len(sys.argv) > 1: + file_location = sys.argv[1].strip() + with open(file_location, 'r') as input_data_file: + input_data = input_data_file.read() + print solve_it(input_data) + else: + print('This test requires an input file. Please select one from the data directory. (i.e. python solver.py ./data/ks_4_0)') + diff --git a/knapsack/submit.py b/knapsack/submit.py new file mode 100755 index 0000000..c0bf744 --- /dev/null +++ b/knapsack/submit.py @@ -0,0 +1,456 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- + +from __future__ import print_function + +import json +import time +import os +from collections import namedtuple + + +# Python 2/3 compatibility +# Python 2: +try: + from urlparse import urlparse + from urllib import urlencode + from urllib2 import urlopen, Request, HTTPError +except: + pass + +# Python 3: +try: + from urllib.parse import urlparse, urlencode + from urllib.request import urlopen, Request + from urllib.error import HTTPError +except: + pass + +import sys +# Python 2: +if sys.version_info < (3, 0): + def input(str): + return raw_input(str) + +# Python 3, backward compatibility with unicode test +if sys.version_info >= (3, 0): + unicode = type(str) + +version = '1.0.0' +submitt_url = \ + 'https://www.coursera.org/api/onDemandProgrammingScriptSubmissions.v1' + +Metadata = namedtuple("Metadata", ['assignment_key', 'name', 'part_data']) +Part = namedtuple("Part", ['id', 'input_file', 'solver_file', 'name']) + + +def load_metadata(metadata_file_name='_coursera'): + ''' + Parses an assignment metadata file + + Args: + metadata_file_name (str): location of the metadata file + + Returns: + metadata as a named tuple structure + ''' + + if not os.path.exists(metadata_file_name): + print('metadata file "%s" not found' % metadata_file_name) + quit() + + try: + with open(metadata_file_name, 'r') as metadata_file: + url = metadata_file.readline().strip() + name = metadata_file.readline().strip() + part_data = [] + for line in metadata_file.readlines(): + if ',' in line: + line_parts = line.split(',') + line_parts = [x.strip() for x in line_parts] + assert(len(line_parts) == 4) + part_data.append(Part(*line_parts)) + if len(url) <= 0: + print('Empty url in _coursera file: %s' % metadata_file_name) + quit() + if len(name) <= 0: + print('Empty assignment name in _coursera file: %s' % metadata_file_name) + quit() + except Exception as e: + print('problem parsing assignment metadata file') + print('exception message:') + print(e) + quit() + + return Metadata(url, name, part_data) + + +def part_prompt(problems): + ''' + Prompts the user for which parts of the assignment they would like to + submit. + + Args: + problems: a list of assignment problems + + Returns: + the selected subset of problems + ''' + + count = 1 + print('Hello! These are the assignment parts that you can submit:') + for i, problem in enumerate(problems): + print(str(count) + ') ' + problem.name) + count += 1 + print('0) All') + + part_text = input('Please enter which part(s) you want to submit (0-%d): ' % (count-1)) + selected_problems = [] + selected_models = [] + + for item in part_text.split(','): + try: + i = int(item) + except: + print('Skipping input "' + item + '". It is not an integer.') + continue + + if i >= count or i < 0: + print('Skipping input "' + item + '". It is out of the valid range (0-%d).' % (count-1)) + continue + + if i == 0: + selected_problems.extend(problems) + continue + + if i <= len(problems): + selected_problems.append(problems[i-1]) + + if len(selected_problems) <= 0: + print('No valid assignment parts identified. Please try again. \n') + return part_prompt(problems) + else: + return selected_problems + + +def compute(metadata, solver_file_override=None): + ''' + Determines which assignment parts the student would like to submit. + Then computes his/her answers to those assignment parts + + Args: + metadata: the assignment metadata + solver_file_override: an optional model file to override the metadata + default + + Returns: + a dictionary of results in the format Coursera expects + ''' + + if solver_file_override is not None: + print('Overriding solver file with: '+solver_file_override) + + selected_problems = part_prompt(metadata.part_data) + + results = {} + + #submission needs empty dict for every assignment part + results.update({prob_data.id : {} for prob_data in metadata.part_data}) + + for problem in selected_problems: + if solver_file_override != None: + solver_file = solver_file_override + else: + solver_file = problem.solver_file + + if not os.path.isfile(solver_file): + print('Unable to locate assignment file "%s" in the current working directory.' % solver_file) + continue + + # if a relative path is given, add that patth to system path so import will work + if os.path.sep in solver_file: + split = solver_file.rfind(os.path.sep) + path = solver_file[0:split] + file_name = solver_file[split+1:] + sys.path.insert(0, path) + solver_file = file_name + + submission = output(problem.input_file, solver_file) + if submission != None: + results[problem.id] = {'output':submission} + + print('\n== Computations Complete ...') + + return results + + +def load_input_data(file_location): + with open(file_location, 'r') as input_data_file: + input_data = ''.join(input_data_file.readlines()) + return input_data + + +def output(input_file, solver_file): + ''' + Attempts to execute solve_it locally on a given input file. + + Args: + input_file: the assignment problem data of interest + solver_file: a python file containing the solve_it function + + Returns: + the submission string in a format that the grader expects + ''' + + try: + pkg = __import__(solver_file[:-3]) # remove '.py' extension + if not hasattr(pkg, 'solve_it'): + print('the solve_it() function was not found in %s' % solver_file) + quit() + except ImportError: + print('import error with python file "%s".' % solver_file) + quit() + + + solution = '' + + start = time.clock() + try: + solution = pkg.solve_it(load_input_data(input_file)) + except Exception as e: + print('the solve_it(input_data) method from solver.py raised an exception') + print('try testing it with python ./solver.py before running this submission script') + print('exception message:') + print(str(e)) + print('') + return 'Local Exception =(' + end = time.clock() + + if not (isinstance(solution, str) or isinstance(solution, unicode)): + print('Warning: the solver did not return a string. The given object will be converted with the str() method.') + solution = str(solution) + + print('Submitting: ') + print(solution) + + return solution.strip() + '\n' + str(end - start) + + +def login_dialog(assignment_key, results, credentials_file_location = '_credentials'): + ''' + Requests Coursera login credentials from the student and submits the + student's solutions for grading + + Args: + assignment_key: Coursera's assignment key + results: a dictionary of results in Cousera's format + credentials_file_location: a file location where login credentials can + be found + ''' + + success = False + tries = 0 + + while not success: + + # stops infinate loop when credentials file is incorrect + if tries <= 0: + login, token = login_prompt(credentials_file_location) + else: + login, token = login_prompt('') + + code, responce = submit_solution(assignment_key, login, token, results) + + print('\n== Coursera Responce ...') + #print(code) + print(responce) + + if code != 401: + success = True + else: + print('\ntry logging in again') + tries += 1 + +def login_prompt(credentials_file_location): + ''' + Attempts to load credentials from a file, if that fails asks the user. + Returns: + the user's login and token + ''' + + if os.path.isfile(credentials_file_location): + try: + with open(credentials_file_location, 'r') as metadata_file: + login = metadata_file.readline().strip() + token = metadata_file.readline().strip() + metadata_file.close() + except: + login, token = basic_prompt() + else: + login, token = basic_prompt() + return login, token + + +def basic_prompt(): + ''' + Prompt the user for login credentials. + Returns: + the user's login and token + ''' + login = input('User Name (e-mail address): ') + token = input('Submission Token (from the assignment page): ') + return login, token + + +def submit_solution(assignment_key, email_address, token, results): + ''' + Sends the student's submission to Coursera for grading via the submission + API. + + Args: + assignment_key: Coursera's assignment key + email_address: the student's email + token: the student's assignment token + results: a dictionary of results in Cousera's format + + Returns: + the https response code and a feedback message + ''' + + print('\n== Connecting to Coursera ...') + print('Submitting %d of %d parts' % + (sum(['output' in v for k,v in results.items()]), len(results))) + + # build json datastructure + parts = {} + submission = { + 'assignmentKey': assignment_key, + 'submitterEmail': email_address, + 'secret': token, + 'parts': results + } + + # send submission + req = Request(submitt_url) + req.add_header('Cache-Control', 'no-cache') + req.add_header('Content-type', 'application/json') + + try: + res = urlopen(req, json.dumps(submission).encode('utf8')) + except HTTPError as e: + responce = json.loads(e.read().decode('utf8')) + + if 'details' in responce and responce['details'] != None and \ + 'learnerMessage' in responce['details']: + return e.code, responce['details']['learnerMessage'] + else: + return e.code, 'Unexpected response code, please contact the ' \ + 'course staff.\nDetails: ' + responce['message'] + + code = res.code + responce = json.loads(res.read().decode('utf8')) + + if code >= 200 and code <= 299: + return code, 'Your submission has been accepted and will be ' \ + 'graded shortly.' + + return code, 'Unexpected response code, please contact the '\ + 'course staff.\nDetails: ' + responce + + +def main(args): + ''' + 1) Reads a metadata file to customize the submission process to + a particular assignment. + 2) The compute the student's answers to the assignment parts. + 3) Submits the student's answers for grading. + + Provides the an option for saving the submissions locally. This is very + helpful when testing the assignment graders. + + Args: + args: CLI arguments from an argparse parser + ''' + + # needed so that output can import from the cwd + sys.path.append(os.getcwd()) + + if args.metadata is None: + metadata = load_metadata() + else: + print('Overriding metadata file with: '+args.metadata) + metadata = load_metadata(args.metadata) + + print('==\n== '+metadata.name+' Solution Submission \n==') + + # compute dialog + results = compute(metadata, args.override) + + if sum(['output' in v for k,v in results.items()]) <= 0: + return + + # store submissions if requested + if args.record_submission == True: + print('Recording submission as files') + for sid, submission in results.items(): + if 'output' in submission: + directory = '_'+sid + if not os.path.exists(directory): + os.makedirs(directory) + + submission_file_name = directory+'/submission.sub' + print(' writting submission file: '+submission_file_name) + with open(submission_file_name,'w') as submission_file: + submission_file.write(submission['output']) + submission_file.close() + return + + # submit dialog + if args.credentials is None: + login_dialog(metadata.assignment_key, results) + else: + print('Overriding credentials file with: '+args.credentials) + login_dialog(metadata.assignment_key, results, args.credentials) + + + +import argparse +def build_parser(): + ''' + Builds an argument parser for the CLI + + Returns: + parser: an argparse parser + ''' + + parser = argparse.ArgumentParser( + description='''The submission script for Discrete Optimization + assignments on the Coursera Platform.''', + epilog='''Please file bugs on github at: + https://github.com/discreteoptimization/assignment/issues. If you + would like to contribute to this tool's development, check it out at: + https://github.com/discreteoptimization/assignment''' + ) + + parser.add_argument('-v', '--version', action='version', + version='%(prog)s '+version) + + parser.add_argument('-o', '--override', + help='overrides the python source file specified in the \'_coursera\' file') + + parser.add_argument('-m', '--metadata', + help='overrides the \'_coursera\' metadata file') + + parser.add_argument('-c', '--credentials', + help='overrides the \'_credentials\' credentials file') + + parser.add_argument('-rs', '--record_submission', + help='records the submission(s) as files', action='store_true') + + return parser + + +if __name__ == '__main__': + parser = build_parser() + main(parser.parse_args()) +